Pith. sign in

Paper Citation Record · LEDGER

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges

As of 19 August 2026, this Paper Citation Record lists 100 of 181 outbound references and 1 inbound Pith citation observation for arXiv:2412.11840.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.11840 v1

Coverage vector

measured 100 of 181 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:34:44.284544Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:51.716495Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T15:19:52.031018Z

Reference resolution

100 of 181 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved87
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67d601ba-3675-47a6-a55a-28883136170e · outbound

This paper cites Multi-auv motion planning for archeological site mapping and photogrammetric reconstruction,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Multi-auv motion planning for archeological site mapping and photogrammetric reconstruction,

Reference 1

Resolution
verified exact
doi, observed 2026-08-11T14:34:44.962063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:43.788793Z digest=sha256:a1e3f3ab74be37ee2b53191cd61625565793fc6ba4819a04306e5baa42ed82f9

Observation c3474ab6-34d5-4318-9387-e4389d8e4cff · outbound

This paper cites Auv ”tuna-sand.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Auv ”tuna-sand

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.794696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.794696Z digest=sha256:4aaacd90260c572b0907058ddc1801b89b7b0f22c9524080cf54040687e8bd97

Observation 02ab856e-9227-47ea-92e4-a5bd244349fe · outbound

This paper cites Multi-actuated auv body for windfarm inspection: Lessons from the bio-inspired robofish field trials,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Multi-actuated auv body for windfarm inspection: Lessons from the bio-inspired robofish field trials,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.799587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.799587Z digest=sha256:af86f5286a5c4d5c39168a10db663b0ccb714808434640e96d68b596fded7506

Observation 1817e456-5a74-4ae4-bb90-2345c2dc1266 · outbound

This paper cites The hugin 1000 autonomous underwater vehicle for military applications,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges The hugin 1000 autonomous underwater vehicle for military applications,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.805085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.805085Z digest=sha256:6de5d95dd3d49cfc7be7abba5cb77c4f53e901470f0d219ea8b8895fc88416d4

Observation 04f44068-5c04-4e88-9331-37bf473ebe58 · outbound

This paper cites Swdd: Sonar wall detection dataset,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Swdd: Sonar wall detection dataset,

Reference 5

Resolution
verified exact
doi, observed 2026-08-11T14:34:44.947891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:43.810908Z digest=sha256:4d2ba6fc3df2e2fa69e253cefc631bf2c2a1f08a951a8a5e4b6bf53239de4898

Observation 16e0cb0d-ff9c-458d-9455-6358fdf8ba88 · outbound

This paper cites Data augmentation using image translation for underwater sonar image segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Data augmentation using image translation for underwater sonar image segmentation,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.815949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.815949Z digest=sha256:01aebc0ecab1ceadbb9b42058b2b30c0245228d74781c1836691961cf213bdbb

Observation e9f8c55f-ad65-4a77-9973-c02a36a799b6 · outbound

This paper cites Recent advances in ai for navigation and control of underwater robots,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Recent advances in ai for navigation and control of underwater robots,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.820942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.820942Z digest=sha256:beb1d5b6449018ece03f71242a920dcb1dfef7bf2348126dc46674b93336fd5a

Observation 290bc9a9-2864-44a4-8787-6a36da2f4a1f · outbound

This paper cites Autonomous object identification in mine countermeasure missions,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Autonomous object identification in mine countermeasure missions,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.825682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.825682Z digest=sha256:dc6470c00c966369f739b3989c36a5f91b3699528af936eda96e6af0aaf4adff

Observation aec57c8f-8051-4f55-9c1e-142953bcaf35 · outbound

This paper cites Archaeo- logic machine learning for shipwreck detection using lidar and sonar,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Archaeo- logic machine learning for shipwreck detection using lidar and sonar,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.830246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.830246Z digest=sha256:d38fe3ff5d449cf83f2c96e1fd1eded00c34cdf98d2d363b392e7040c7744954

Observation f3e5fa3f-ee12-4f6e-a591-e779b72baa74 · outbound

This paper cites Lsts toolchain framework for deep learning implementation into autonomous underwater vehicle,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Lsts toolchain framework for deep learning implementation into autonomous underwater vehicle,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.835389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.835389Z digest=sha256:cbc0e43d858891d24f09cb823332c8bbb46af2ce0d7e72cfbd4a7d672571e5d5

Observation 59978f9b-d8ec-4999-ac89-e213187cc8b2 · outbound

This paper cites Mission planning and safety assessment for pipeline inspection using autonomous underwater vehicles: A framework based on behavior trees,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Mission planning and safety assessment for pipeline inspection using autonomous underwater vehicles: A framework based on behavior trees,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.840335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.840335Z digest=sha256:2492ad3200382d308e79606d72ad52a024bc4ae458eda3dc0d8afaa8c78c0f7a

Observation ab96d3af-4b0b-4d3e-995a-663b87dbbdcf · outbound

This paper cites A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:34:45.772513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:43.845553Z digest=sha256:efbc510f1a975c30d5ce57d1c5ccf7e62f4083c73cb36cb7bdc2393f7871dcf1

Observation a533081b-c0dd-429d-b208-ce2184e40d82 · outbound

This paper cites Safe ai for cps (invited paper),.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Safe ai for cps (invited paper),

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.851167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.851167Z digest=sha256:64b6bd640cb891cdae3da1f67922ab5ab9af4fd20a58dc5e3d174e7158fd13a6

Observation 3c5acd0d-f2db-4f3d-8b84-34f691948c94 · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Opening the Black Box of Deep Neural Networks via Information

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.856394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.856394Z digest=sha256:ffe8227483c3e5f38fe1558be3cdea58fa7c0f06af34ae0a1f95de243cfb8e77

Observation e424f8e8-86df-4782-b0c0-07158a5a2528 · outbound

This paper cites Ai challenges for society and ethics,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Ai challenges for society and ethics,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.863173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.863173Z digest=sha256:0c64cf80d91d671db4e9407778adc34034cb1405b4af87ad527e5236c44e8951

Observation c36954fe-e6c0-4d26-801a-03b798a2ee63 · outbound

This paper cites Explainable AI: current status and future directions.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Explainable AI: current status and future directions

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.868116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.868116Z digest=sha256:acfe61b7697df6a44b4175747f1dc2906388a0f2db8c1bf52868a4ffee77ff8e

Observation 53acb87c-c3a8-49c3-9797-bf5d78f7a7e1 · outbound

This paper cites Rethinking explainable machines: The gdprs “right to explanation.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Rethinking explainable machines: The gdprs “right to explanation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.873147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.873147Z digest=sha256:d9ee66d12640800c340786c8b66af2123bbbc426c0843509f4a700530a82f2c4

Observation 8790f3e7-975b-41cd-bd0d-5cd0f31dee2d · outbound

This paper cites Explaining Explanations: An Overview of Interpretability of Machine Learning.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.878821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.878821Z digest=sha256:3c239dea33a760b88c21b2869ecc6624aa1df9b357f065bff4bea4f8569a3dfe

Observation b0a2b1af-3691-4932-9920-9e5344feee8b · outbound

This paper cites An introduction to underwater acoustics: Principles and applications,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An introduction to underwater acoustics: Principles and applications,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.884654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.884654Z digest=sha256:7d9a72ed835864a45270a15c083823c8e38cf3fad27c336a5d13471f48b7a856

Observation 4fe17820-5a25-40ed-8afe-61a949b1f2c1 · outbound

This paper cites A review on deep learning-based approaches for automatic sonar target recognition,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A review on deep learning-based approaches for automatic sonar target recognition,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.890782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.890782Z digest=sha256:d18f7f1691178593d9cba6a9e9bc4a052133cd88f1c781bfea676de1622425cc

Observation df4fe637-451b-4127-8474-2aa9f839b42c · outbound

This paper cites Survey on deep learning based computer vision for sonar imagery,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Survey on deep learning based computer vision for sonar imagery,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.896121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.896121Z digest=sha256:839a49d54d36e428d2a2fdd026a9e67731bf2501d6a3cc477de0f6f9270c7756

Observation b7ec1bc1-182d-4cff-8835-d4b922b8065f · outbound

This paper cites Underwater target detection using deep learning: Methodologies, challenges, applications, and future evolution,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Underwater target detection using deep learning: Methodologies, challenges, applications, and future evolution,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.900894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.900894Z digest=sha256:f66fcdf61a21ad234b3d1aed4df3abec1beb6c520ab88e728dfd4865050089e7

Observation ecae6357-b815-457a-9f9e-d8d129c996c2 · outbound

This paper cites Underwater target recognition methods based on the framework of deep learning: A survey,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Underwater target recognition methods based on the framework of deep learning: A survey,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.905487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.905487Z digest=sha256:7c599657136262f6628c39f91fa4e17bdc0caf42fd0e1a7669f8c48b0e8e567a

Observation 6b13fe5e-e7ff-46a2-ad46-3739510fd089 · outbound

This paper cites A review on the wavelet methods for sonar image segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A review on the wavelet methods for sonar image segmentation,

Reference 24

Resolution
verified exact
doi, observed 2026-08-11T14:34:44.919699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:43.915229Z digest=sha256:1d6293f7a4a5b7c5524a309c9f2a755e5c4904865f5db94a5b4a4d48ea8b1057

Observation d9996ade-2842-43f9-b1e4-e14319c5cf76 · outbound

This paper cites Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Acoustic fish species identification using deep learning and machine learning algorithms: A systematic review,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.920290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.920290Z digest=sha256:1288ce7ea3cc0d17f57ea52a6fd96e9677b909984af5cae2ba459633e4778069

Observation 0fccc934-e3c2-4b49-92e0-097a555bad3e · outbound

This paper cites Deep learning algorithms for sonar imagery analysis and its application in aquaculture: A review,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Deep learning algorithms for sonar imagery analysis and its application in aquaculture: A review,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.925821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.925821Z digest=sha256:9313540b1755b637e406ba4d618edce76605f08c7002071c67774d3aa45a1c17

Observation e2169fa4-ff65-4695-87e5-88070afcc1da · outbound

This paper cites A survey of underwater acoustic data classification methods using deep learning for shoreline surveillance,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A survey of underwater acoustic data classification methods using deep learning for shoreline surveillance,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.932536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.932536Z digest=sha256:7461b26de70c940053bb77b2c3789fe3278d15a66b2c7a772ba1b4b226e21b42

Observation 67f4dc3d-1db4-413f-b2db-92c8171ad0f0 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Imagenet classification with deep convolutional neural networks,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.937095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.937095Z digest=sha256:2949e6c504a27ac6dde9f0dbd1752193000d9674547e3958854068562b88ffd0

Observation e2687011-a249-4c5a-85e9-1a761bc709ee · outbound

This paper cites Gradient-based learning applied to document recognition,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Gradient-based learning applied to document recognition,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.943009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.943009Z digest=sha256:757d208b3c3e3439b1bd024df1ba27914b7eaba424a4b1295e88f12388e97610

Observation a93da3b0-1f32-4bc1-9e94-fbaf9087a775 · outbound

This paper cites Deep residual learning for image recognition,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Deep residual learning for image recognition,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.947516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.947516Z digest=sha256:40ce36dc8cde83f30c7e67673d3b76cf7901b67f4562fd10fd64152ae1ee2de2

Observation 4dae8f7c-2b34-4574-b866-59b4d24d61a1 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.952216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.952216Z digest=sha256:bc4d864594a44a9e76454d7e23b4db5863c66421f16a2709a3be0a7d418ede7b

Observation b5d8dd92-5da4-4be0-b60b-bbf25243190e · outbound

This paper cites Fast r-cnn,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Fast r-cnn,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.957030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.957030Z digest=sha256:68c32cc15267e05223bd93ca96250335f8635d7248a6dade9ca7bd9713a2a03d

Observation 9e97d231-e839-4e8f-882c-feb5ba056bbd · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.963213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.963213Z digest=sha256:c56fac7324888b5e45504d440dee64f7625d819cdb0aeaf88f4ac90034d33605

Observation 372d5509-7464-4888-b0c9-178cfdb73bed · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges You Only Look Once: Unified, Real-Time Object Detection

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.968737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.968737Z digest=sha256:dfc86ed1398ce3b671446e49b788d5a73325ac4033f9b66c0b111d0086a4f825

Observation 5384d575-aa58-4611-8667-ee4e8821ef7b · outbound

This paper cites Ssd: Single shot multibox detector,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Ssd: Single shot multibox detector,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.974165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.974165Z digest=sha256:24c33d03c8eb6f53dcd9f794412612533fd296aa27aa3650b2afa2dd6f373ced

Observation 56c981dc-45f8-4989-9644-fdd691787477 · outbound

This paper cites Attention Is All You Need.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Attention Is All You Need

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.980779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.980779Z digest=sha256:6279830e30a04cc82d32e2ece11f40c702ba1c4810417bbcfcd06a18dcf5bd45

Observation c4303bb9-9751-46de-b9fa-0cf91683c30c · outbound

This paper cites Serial order: A parallel distributed processing approach,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Serial order: A parallel distributed processing approach,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.986167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.986167Z digest=sha256:94750087466696cf41212d1b98aa6b9a1261b4b8713f416699414835f65ca8ec

Observation 6b1b3ff1-b2b4-40d0-8add-3c61a54293ee · outbound

This paper cites Long short-term memory,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Long short-term memory,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.990955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.990955Z digest=sha256:db607e444b00ab40123e8d542e27c771a85937b6f3e661aa746e35f38a918879

Observation ee6d7217-eb11-4621-b802-6529dc4d5249 · outbound

This paper cites End-to-End Object Detection with Transformers.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges End-to-End Object Detection with Transformers

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:43.996601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:43.996601Z digest=sha256:025a90d03435f98d0dff715892af981135b605e0e533977da87dc2eeb3bdf1f4

Observation 1db351aa-5f58-43ac-985f-1334f99d781c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.001059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.001059Z digest=sha256:41e4dceabd77898f43412d08213f0993b115da1ee14f987cf6507b3a9bbea04c

Observation fde8a849-a2c0-4192-8f4c-7ed542d0f9b0 · outbound

This paper cites Rotated object detection with forward-looking sonar in underwater applications,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Rotated object detection with forward-looking sonar in underwater applications,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.006083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.006083Z digest=sha256:708af1a5c8d774be35e42de465e97fc9baa0da4650a47455ea40bede27e2f48f

Observation 8f9dba5e-8ca4-4c97-b57a-a2aa2442ae65 · outbound

This paper cites Real-time underwater maritime object detection in side-scan sonar images based on transformer-yolov5,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Real-time underwater maritime object detection in side-scan sonar images based on transformer-yolov5,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.010144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.010144Z digest=sha256:b3155f1c11ab025846e46e40141dece4b71ab7a6d2be85c8c44d3167ef6f9a87

Observation 9d5d3b9c-651f-4c3f-a985-191e44302804 · outbound

This paper cites Real-time automatic wall detection and localization based on side scan sonar images,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Real-time automatic wall detection and localization based on side scan sonar images,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.014222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.014222Z digest=sha256:1a079c07e7630d06414f9a641ea31f9d17e69ddaf235fe1f5c6c4f3c746abdd0

Observation 26c5c0cb-3ae9-4aff-8b41-04d1d5f05ae4 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges YOLOX: Exceeding YOLO Series in 2021

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.018548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.018548Z digest=sha256:5f1f02b2582787bd984a4df970633f2b2c6cc7efc6ee08770a17c8fa17692ffd

Observation 0c74716d-fb6d-4abe-b666-6741cc89ee53 · outbound

This paper cites Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:34:44.893463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:44.023660Z digest=sha256:49b3744624ab31cddaafeb75ac68a37ae3b6c2e742e0ac6ce0587df4ca9f6efa

Observation 68736a6e-ca8d-4f6b-a7e2-f14d36a90a82 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Fully convolutional networks for semantic segmentation,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.029042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.029042Z digest=sha256:693968a4cc07d9cbb73faab132dfdf7a57297ebcb5bd44f1eb6baa8a8d3f51cd

Observation e26f3397-9a2e-4c7c-b7c9-8d063cdb48fb · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges U-net: Convolutional net- works for biomedical image segmentation,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.033516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.033516Z digest=sha256:a2c69e1a7b816c85465ed775e99250bcb47d33bcbf698124406003c33fac726c

Observation 13c03d4d-6969-4da7-9759-6f6eb0d9fc20 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.037949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.037949Z digest=sha256:1c4b3720bfcfdf0862f66740781b6dd62b363575ff02473f178875f57d3dfd87

Observation ff07317d-ff02-4e8f-baf6-4824f636d5db · outbound

This paper cites Pyramid scene parsing network,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Pyramid scene parsing network,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.043035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.043035Z digest=sha256:1f93d1985dff187f27ad04811f4ee6171321d3b82b600546eba77d82110c4e04

Observation ae3c0055-9c79-40eb-96e9-d36677d57cde · outbound

This paper cites A submarine pipeline segmentation method for noisy forward-looking sonar images using global information and coarse segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A submarine pipeline segmentation method for noisy forward-looking sonar images using global information and coarse segmentation,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.047077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.047077Z digest=sha256:b18c241835bd9e18ee5c4e52c0efb0e0869f50624282c926f70b19bbf7dbdc3d

Observation 633f5b84-73c9-4d79-afbe-35d33fa11837 · outbound

This paper cites Side-scan sonar images segmentation for auv with recurrent residual convolutional neural network module and self-guidance module,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Side-scan sonar images segmentation for auv with recurrent residual convolutional neural network module and self-guidance module,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.051308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.051308Z digest=sha256:69284171063583729a17f49d6570f971fe4f024938cf0922a04930276b07d7ba

Observation abf5f769-1d97-413c-b8f4-415d1e26e238 · outbound

This paper cites Attention u-net: Learning where to look for the pancreas,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Attention u-net: Learning where to look for the pancreas,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.055703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.055703Z digest=sha256:e5705320dfb5685ad9ddd68ebb69a3c08766105f85f7c27894788ac376b74adf

Observation bbf795bc-ecfc-49e0-a221-b0b82762fa64 · outbound

This paper cites Rethinking semantic segmenta- tion from a sequence-to-sequence perspective with transformers,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Rethinking semantic segmenta- tion from a sequence-to-sequence perspective with transformers,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.060428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.060428Z digest=sha256:bfd280edfdac377d9d2bf40a3cae1828fb4e99a2b139990a335403ce49d9c2c7

Observation 67afdd9a-38dd-4c68-a01d-1d7f0b9d0454 · outbound

This paper cites Segmenter: Trans- former for semantic segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Segmenter: Trans- former for semantic segmentation,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.065255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.065255Z digest=sha256:3707b0e9e29e01dec87f32b334a51f0b2a98deeecccf70998fe37efde5d4b4f0

Observation 4b8a5cd4-b8bc-4ca4-b1dc-4a3118fc5ad7 · outbound

This paper cites Mitu-net: An efficient mix transformer u-like network for forward-looking sonar image segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Mitu-net: An efficient mix transformer u-like network for forward-looking sonar image segmentation,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.069803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.069803Z digest=sha256:05ed1bd5c5ece2051a8ed766ec2d8be8b3b38a9a3c5735746b867f349cd3c239

Observation f0ceca53-529e-426a-8826-75dedf2e93bd · outbound

This paper cites Sonarnet: Hybrid cnn-transformer- hog framework and multifeature fusion mechanism for forward-looking sonar image segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Sonarnet: Hybrid cnn-transformer- hog framework and multifeature fusion mechanism for forward-looking sonar image segmentation,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.074523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.074523Z digest=sha256:efe5389a3d4493859ea1902c72166c59d6be34382a692e733b09413c595ba724

Observation 2d33b2ed-38df-4824-a456-c4efbd263320 · outbound

This paper cites Subpipe: A submarine pipeline inspection dataset for segmentation and visual-inertial localization,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Subpipe: A submarine pipeline inspection dataset for segmentation and visual-inertial localization,

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.078935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.078935Z digest=sha256:9c58a8511d538358cb6485e46b5c39675aaa32d9c9c7e601a584098c5c6c97ee

Observation 7fe929f7-2141-4278-bcc4-1a759886b6a1 · outbound

This paper cites Semantic segmentation of underwater imagery: Dataset and benchmark,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Semantic segmentation of underwater imagery: Dataset and benchmark,

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.083413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.083413Z digest=sha256:5afc2f95140d0e798876c5bd2ed67597eaf4f915e731dc3acdaa0deb295a9c8d

Observation fd3dd054-4b0a-4d6b-87e0-80903dee66fb · outbound

This paper cites Simultaneous map building and localization for an autonomous mobile robot,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Simultaneous map building and localization for an autonomous mobile robot,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.088200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.088200Z digest=sha256:e40dc0bb3e5f54c7c0ab9707528b9685f99d5a91f1b1c7fe33e8a8c03045171c

Observation 17dba3c8-2df8-456a-b794-fe914c20f2ef · outbound

This paper cites A new approach to linear filtering and prediction problems,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A new approach to linear filtering and prediction problems,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.093237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.093237Z digest=sha256:5f61493808f9a9605b235539f3a0c5438bff1831123eebafdd5aa7b02085286a

Observation 5448121b-59ab-46bf-892d-b6c01a837514 · outbound

This paper cites A tutorial on graph-based slam,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A tutorial on graph-based slam,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.098182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.098182Z digest=sha256:515f028c5027008986dfb808258405f29130b51e746175601459a67c679c1e5a

Observation b885994c-4406-4c36-968b-f696e6553f1a · outbound

This paper cites Feature-based under- water localization using imaging sonar in confined environments,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Feature-based under- water localization using imaging sonar in confined environments,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.102440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.102440Z digest=sha256:3103203caa63a73e166c7b800bd7e18d9717e3734bff096b62ade9e68483e52d

Observation bf1acc50-4c51-48af-988e-f83399a19fb1 · outbound

This paper cites A fully-automatic side-scan sonar simultaneous localization and mapping framework,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A fully-automatic side-scan sonar simultaneous localization and mapping framework,

Reference 63

Resolution
verified exact
doi, observed 2026-08-11T14:34:44.874031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:44.106617Z digest=sha256:598b97bdc2612ffd074b1bb055783dee545c5599d51357078e2d2aa352d4df61

Observation 71708ec5-f7e0-405d-a7a3-ba19dfd20af9 · outbound

This paper cites Toward Geometric Deep SLAM.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Toward Geometric Deep SLAM

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.111209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.111209Z digest=sha256:fbfb1103700594e0e6ec4f01f4295a830099e342e2cc786da00b34564115cfab

Observation ea6a1726-2eb8-477a-8afe-0020c185ff38 · outbound

This paper cites Review of underwater slam techniques,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Review of underwater slam techniques,

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.115814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.115814Z digest=sha256:c55e654d2c85f2ba935cd4181636b86c0723ca9a15a4f7b72f3d52563d560473

Observation 7f26631a-2605-4a30-a9bf-edbdfa45951f · outbound

This paper cites Visual slam for underwater vehicles: A survey,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Visual slam for underwater vehicles: A survey,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.119745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.119745Z digest=sha256:72e4d7009f6da445854da9eaac04e37e132b73d877590dce74eeb6207b6663e1

Observation 3cc879a5-816c-4c19-92d9-a1316e73aabd · outbound

This paper cites Svin2: A multi-sensor fusion-based underwater slam system,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Svin2: A multi-sensor fusion-based underwater slam system,

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.123879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.123879Z digest=sha256:a23e650f790a41c3e3325fe43d0a3079e973c694ed4ab6232312a04280be830b

Observation 27f14b68-0cbc-412b-9c97-43074d8741fd · outbound

This paper cites Svin2: An underwater slam system using sonar, visual, inertial, and depth sensor,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Svin2: An underwater slam system using sonar, visual, inertial, and depth sensor,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.128275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.128275Z digest=sha256:c4dc98a117188441a87a3da8c008aabc31be851810f6283945819221615bf192

Observation 72d930a6-b756-4281-a25d-e918c700aa4e · outbound

This paper cites Adaptive tuning of a kalman filter via fuzzy logic for an intelligent auv navigation system,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Adaptive tuning of a kalman filter via fuzzy logic for an intelligent auv navigation system,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.132405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.132405Z digest=sha256:5cc803d8eeaee9d5473c71cc189ea1321c81148b909f6359a27fe72447549c03

Observation 2f34f4e6-9cce-42c2-97ca-73990392b4c4 · outbound

This paper cites A dense subframe-based slam framework with side-scan sonar,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A dense subframe-based slam framework with side-scan sonar,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.136654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.136654Z digest=sha256:482e37b113c1e02942efdb86710a6506bf9bb3f70a2f39529a3ba1cd98e36f5e

Observation 1dfabc8c-1139-485e-bbde-74c7e98c8bc1 · outbound

This paper cites Savor: Sonar-aided visual odometry and reconstruction for autonomous underwater vehicles,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Savor: Sonar-aided visual odometry and reconstruction for autonomous underwater vehicles,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.140478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.140478Z digest=sha256:28d2a2765ac961f2ab4d01c102bfe656fe6679e08aad44b93d59fdac48c96d81

Observation 5fc16387-f538-4cf5-ba7b-c64166158841 · outbound

This paper cites An overview of key slam technologies for underwater scenes,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An overview of key slam technologies for underwater scenes,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.144550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.144550Z digest=sha256:73fce4638b5c15ac8f3bb7d9348712efc8687968bb05a8db2ed2e70727378064

Observation 185ecdb2-5694-4f51-9afc-19b8cd35ddf9 · outbound

This paper cites Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Autonomous underwater vehicle navigation using sonar image matching based on convolutional neural network,

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.148976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.148976Z digest=sha256:ff9fd0405f5b52f05ae5c2c4a6651d401a229904ebc75393ff4c3ec29d481afa

Observation f96e9abc-4822-4473-82e9-786c9a0a5945 · outbound

This paper cites Diverse ocean noise classifi- cation using deep learning,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Diverse ocean noise classifi- cation using deep learning,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.152874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.152874Z digest=sha256:e9871bcfa1754813a5224ef4d9b1b776e0aa636911f1615ffbb34a25d0db23ce

Observation b23bd96f-9ed2-42a1-8f07-6182113e8a2e · outbound

This paper cites A dataset with multibeam forward- looking sonar for underwater object detection,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A dataset with multibeam forward- looking sonar for underwater object detection,

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.157263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.157263Z digest=sha256:dd72266b30b8ea2904d3060c3d4664fa5e6595643e56e9af5a2ae719d9d6d99b

Observation ceee9f6b-1455-40cd-8662-c465f149cfa4 · outbound

This paper cites An adaptive denoising and detection approach for underwater sonar image,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An adaptive denoising and detection approach for underwater sonar image,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.161245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.161245Z digest=sha256:64a2ab05f18b48771f9e6fb7568bf5626901afa3f91f30ff0351c93d0f3334e8

Observation 9973a279-1e2e-474c-8225-f97feb17ed07 · outbound

This paper cites Sonar image denoising based on anisotropic guided filtering,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Sonar image denoising based on anisotropic guided filtering,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.165650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.165650Z digest=sha256:155566a057c81049e71f6c5613314be2472974c9ae165a4ecf115c7dfe626ed8

Observation b801ea5e-a3a5-41ab-b5a8-b79684069636 · outbound

This paper cites Deep denoising method for side scan sonar images without high-quality reference data,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Deep denoising method for side scan sonar images without high-quality reference data,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.170251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.170251Z digest=sha256:15cbd916bd57cefb4727f70f93ebeda21b91c47c619729d3a01c841f8584e8ff

Observation 5d409296-88da-4b7c-a8ee-2677b3498702 · outbound

This paper cites Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm,

Reference 79

Resolution
verified exact
doi, observed 2026-08-11T14:34:44.858208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:44.176363Z digest=sha256:cff277ce48de789d708ff21de32fae058ea90c7d33b54424a4fd3bd0d279a415

Observation 24c57384-50b5-4b2e-8c4a-b676019b3e1b · outbound

This paper cites Research on a feature enhancement extraction method for underwater targets based on deep autoencoder networks,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Research on a feature enhancement extraction method for underwater targets based on deep autoencoder networks,

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.181303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.181303Z digest=sha256:8afe1e509e5f723d9714938d50b17b169eb32ba45526e90dfa96856790ed39ae

Observation 513dd393-ca17-480c-8456-8b5924ed47eb · outbound

This paper cites Connectionist Bench (Sonar, Mines vs. Rocks),.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Connectionist Bench (Sonar, Mines vs. Rocks),

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.188280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.188280Z digest=sha256:6b68be3e2f19baae88990f849d17eefb14970abd3535ca18122f518c2505606b

Observation 2d791862-4728-4c7b-8040-e20e26deabe6 · outbound

This paper cites Side-scan sonar and wa- ter profiler data from Lago Grey,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Side-scan sonar and wa- ter profiler data from Lago Grey,

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.193240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.193240Z digest=sha256:f2baf3d31a869ff95746944ba402bd64b1f306f76e0d3b3e336cbcde06391d1b

Observation 33f4141a-056b-4371-b52e-ccb85c54e5e5 · outbound

This paper cites Underwater ice terrace observed at the front of glaciar grey, a freshwater calving glacier in patagonia,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Underwater ice terrace observed at the front of glaciar grey, a freshwater calving glacier in patagonia,

Reference 83

Resolution
verified exact
doi, observed 2026-08-11T14:34:44.834889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:44.198963Z digest=sha256:2549de9b30b854267ef98a4885bc294c605c6cd381f33cdb82dec663fce0f8a2

Observation 566c8fb8-3c1b-4ed2-84e5-41a0ad4e6b3c · outbound

This paper cites Ireland’s Open Data Portal,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Ireland’s Open Data Portal,

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.203332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.203332Z digest=sha256:932a3faa26a109f3bf0582584a5026a7e8a1e8a688e3606ab0923f179bf4e36a

Observation 53dd1e05-5c4f-4eb2-8a73-57942c16dc1b · outbound

This paper cites U.S. Government’s Open Data,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges U.S. Government’s Open Data,

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.207533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.207533Z digest=sha256:1d09e710de529a8d5d0dd7982b6f49b1496d4f59980d7c49486668c189d3740f

Observation 82732ad6-fe8d-4d6e-87a7-e46ed70402df · outbound

This paper cites Side-scan sonar images of marine engineering geology (Marine PULSE Dataset),.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Side-scan sonar images of marine engineering geology (Marine PULSE Dataset),

Reference 86

Resolution
verified exact
doi, observed 2026-08-11T14:34:44.819715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:44.211855Z digest=sha256:3cb23da4e2b3b51707db9cc66dfa084642979e4ce67d0083e72ccc6b99b850b0

Observation 45a217a2-573e-43d9-8362-1aa402a4b632 · outbound

This paper cites Revealing the potential of deep learning for detecting submarine pipelines in side-scan sonar images: An investigation of pre-training datasets,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Revealing the potential of deep learning for detecting submarine pipelines in side-scan sonar images: An investigation of pre-training datasets,

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.219383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.219383Z digest=sha256:b9aec5920f4bf612b367f9ed3a2ca73f77ed8ef0bd968249bd1e41b40173f7f5

Observation c2379c9e-cd1c-4f66-a08a-f63c83bd10da · outbound

This paper cites Side Scan Sonar mosaics of selected northern Adriatic mesophotic biogenic reefs off Venice (GeoTIFF image),.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Side Scan Sonar mosaics of selected northern Adriatic mesophotic biogenic reefs off Venice (GeoTIFF image),

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.223820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.223820Z digest=sha256:2b5da3488b6b9ba0ee93c970d427cc38c408c5724c80d69141c91ccf7be5597e

Observation 0ff97715-6431-4dd3-a9a5-33c6461b86a8 · outbound

This paper cites Machine learning for shipwreck segmentation from side scan sonar imagery: Dataset and benchmark,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Machine learning for shipwreck segmentation from side scan sonar imagery: Dataset and benchmark,

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.234504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.234504Z digest=sha256:e835071652f28a76eeefe850717529412b2d32e248ce40639edffd1da449e201

Observation 00d89949-7877-48fa-b8a4-78fe62b1ad54 · outbound

This paper cites An acous- tic and optical dataset for the perception of underwater unexploded ordnance (uxo),.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges An acous- tic and optical dataset for the perception of underwater unexploded ordnance (uxo),

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.239187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.239187Z digest=sha256:3aa0675fb3e996316940569585f4412cd7664a7339effea774a8b258cb046d9d

Observation 5636f5bf-66b5-4144-8103-71d174b85b2f · outbound

This paper cites A Large Scale Side-Scan Sonar Dataset of Seafloor Sediments for Self-Supervised Pretraining,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges A Large Scale Side-Scan Sonar Dataset of Seafloor Sediments for Self-Supervised Pretraining,

Reference 91

Resolution
verified exact
doi, observed 2026-08-11T14:34:44.790134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:44.243395Z digest=sha256:6fd312861a349f7d0ac8e7f1ecc4d2cc26eaa5230eb252935bfbe77c0484ce36

Observation 14bdfc21-6608-400e-9339-9d5ae01d7270 · outbound

This paper cites Side-scan sonar imaging for Mine detec- tion,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Side-scan sonar imaging for Mine detec- tion,

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.247747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.247747Z digest=sha256:df3fa330e9c76e046707b3e3f32e590a61f1fb7b696a869d3d8841970568e347

Observation 446802d2-8c81-48ff-aa78-7ad65a1de625 · outbound

This paper cites DIDSON fish data and code for analysis,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges DIDSON fish data and code for analysis,

Reference 93

Resolution
verified exact
raw_fallback, observed 2026-08-11T14:34:45.523856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:44.252310Z digest=sha256:58076521f5742885f5bfa5063550a9f7795b0c266dada7ef66c573007e9a9aa8

Observation 256b6e27-4555-4759-95c5-e7b0f2e67bcd · outbound

This paper cites Optimising the workflow for fish detection in didson (dual-frequency identification sonar) data with the use of optical flow and a genetic algorithm,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Optimising the workflow for fish detection in didson (dual-frequency identification sonar) data with the use of optical flow and a genetic algorithm,

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.256279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.256279Z digest=sha256:7a4d3e02ba472e2f0a4eee8ca6d833008b48dd5b351fb96dffc7ff10056357a9

Observation a66c174c-af47-48e4-9227-1658e90564eb · outbound

This paper cites Marine Debris Turntable,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Marine Debris Turntable,

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.260881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.260881Z digest=sha256:ef3452cf6466193896386830571bedb84d5d26f6132399fff6016ad2fa9a7ae0

Observation 3c4e2d47-ada2-4d89-9fd0-bac70baae0af · outbound

This paper cites The marine debris dataset for forward-looking sonar semantic segmentation,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges The marine debris dataset for forward-looking sonar semantic segmentation,

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.265189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.265189Z digest=sha256:6248b7d2d0f92526febda022e67fe821fa4e1a97a415bea7b6fb5c418e7506ea

Observation dc46fcad-8ab9-404d-8c2d-4ae8f71e1e26 · outbound

This paper cites Synthetic aperture sonar seabed environment dataset (sassed),.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Synthetic aperture sonar seabed environment dataset (sassed),

Reference 97

Resolution
malformed identifier
no resolver link, observed 2026-08-11T14:34:44.269547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.269547Z digest=sha256:f517176ea3c6b3557f81e5234defdf8c2d2b12b8286084c46469d98ed374bd23

Observation 4fcffb8d-9e42-4f84-80bb-01274881ff05 · outbound

This paper cites an unresolved cited work.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Unresolved cited work

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.274116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.274116Z digest=sha256:bd0175766f866f4ee3a61aa33c517afb8a495de226d83ff662e36048ee48db10

Observation 4e3460d4-dd40-4303-a9d4-99c9f048c8ea · outbound

This paper cites Open-set recognition with long-tail sonar images,.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Open-set recognition with long-tail sonar images,

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:44.278730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:44.278730Z digest=sha256:cc25d978a6d551cdda4e2bf1293e8b301d7206bb24088cfab8cf19f0d1ac582b

Observation 9f7d7746-e64b-4144-890c-6086144eadb0 · outbound

This paper cites ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection.

Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:34:45.446290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T14:34:44.284544Z digest=sha256:aa1895f220a0f782ef91164b14b11012fd36724b30bcd76aa24b4340046052f8

Pith citing papers

Observation 84861189-01e6-41ea-a133-a65038e034a2 · inbound

Synthetic Enclosed Echoes: A New Dataset to Mitigate the Gap Between Simulated and Real-World Sonar Data cites this paper.

Synthetic Enclosed Echoes: A New Dataset to Mitigate the Gap Between Simulated and Real-World Sonar Data Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:19:52.178442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:19:51.716495Z digest=sha256:7e7c7bc205fdabf35d3ab8d9a9674ebe5eef207c6e7e7fca414f6616effcc42a