Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:16:29.060081Z
Paper Citation Record · LEDGER
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures
As of 20 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2412.15637.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact5
- verified fuzzy37
- unresolved16
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a3ee4978-b12a-4044-b140-4e3a0e1cc8d7 · outbound
This paper cites an unresolved cited work.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Unresolved cited work
Reference 1
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Source-reported events for the cited work
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Observation d8b5f735-aa29-4724-a2e0-877b6cdd0a38 · outbound
This paper cites In: Computer Vision – ECCV 2018.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Computer Vision – ECCV 2018
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation ed3f9def-1256-4842-b3f1-3532710b3b28 · outbound
This paper cites In: ICCV (October 2019).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: ICCV (October 2019)
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation 75b1bce5-c182-43ab-8c3e-fac93f00fcf6 · outbound
This paper cites In: Proceedings of the European Conference on Computer Vision.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the European Conference on Computer Vision
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 3b8c5943-399b-47da-9b28-e94bb2beca3f · outbound
This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2a027fc4-15b3-4c63-bd5b-5298ffd6c8af · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ac445d43-b976-4e2c-a36b-74710b8cbf72 · outbound
This paper cites In: ICCV 2019.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: ICCV 2019
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8b246f96-5986-494a-b637-30d9cde14e92 · outbound
This paper cites Automation in Construction125, 103606 (2021).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Automation in Construction125, 103606 (2021)
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fd1270c7-a32a-41be-ad01-6df2abcde8a6 · outbound
This paper cites Data in Brief21, 1664–1668 (2018).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Data in Brief21, 1664–1668 (2018)
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 07d4bcb2-5856-4034-9d1e-fa892cba54e5 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c4db150-b372-4505-9136-84a18389a538 · outbound
This paper cites In: IJCNN 2017.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: IJCNN 2017
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aa3e9bb-53ef-48c7-9128-22232337606d · outbound
This paper cites In: International conference on machine learning.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: International conference on machine learning
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e189a69d-6f57-436e-8066-6a7b97aab43b · outbound
This paper cites an unresolved cited work.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Unresolved cited work
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation ab527e02-1dda-49fb-a858-1bcff02593d2 · outbound
This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation cb2b46ec-19ad-467e-9ee0-eec68190d741 · outbound
This paper cites In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation efb0da5b-9cc9-44e0-8f54-63a6b23c3eee · outbound
This paper cites FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Reference 16
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c1ed34f-1266-4e32-bdbf-8134db55cc8d · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b3164175-0401-4078-a90e-f86836d2cb6d · outbound
This paper cites Applied Sciences11(13) (2021).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Applied Sciences11(13) (2021)
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 00d6c1d7-2827-47a3-9cd9-359f2e434363 · outbound
This paper cites an unresolved cited work.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Unresolved cited work
Reference 19
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Source-reported events for the cited work
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Observation 86a3d57b-4c0c-4a43-bdbd-8252008e3302 · outbound
This paper cites Srivastava et al.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Srivastava et al
Reference 20
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Source-reported events for the cited work
correction dated 2016-03-21. Source: crossref record 10.1016/j.aei.2016.03.002->10.1016/j.aei.2015.01.008:correction, observed 2026-07-11T03:13:14.573227+00:00. This notice travels one citation hop only.
Observation e49ac964-33c7-46f8-992d-a5ecc6da00a0 · outbound
This paper cites In: 2021 17th International Conference on Machine Vision and Applications (MVA).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: 2021 17th International Conference on Machine Vision and Applications (MVA)
Reference 21
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Source-reported events for the cited work
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Observation 4d4f45ab-fdcf-416d-ba71-821b9f6739b7 · outbound
This paper cites IEEE Transactions on Intelligent Transportation Sys- tems 23(12), 24083–24094 (2022).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures IEEE Transactions on Intelligent Transportation Sys- tems 23(12), 24083–24094 (2022)
Reference 22
- Resolution
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Observation a745bef8-4d4d-4cab-8e9b-ea31f1355f89 · outbound
This paper cites In: Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VII.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VII
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 30fb7364-4e31-4c34-8df5-4e99a1f2d3d0 · outbound
This paper cites Neurocomputing 338, 321–348 (2019).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Neurocomputing 338, 321–348 (2019)
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 6cc9b480-4dcd-489f-b288-7e4b3695d364 · outbound
This paper cites Ieee Access8, 114892–114899 (2020).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Ieee Access8, 114892–114899 (2020)
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ea4ac588-0c00-4bcb-86eb-69f37c22ae44 · outbound
This paper cites ICML 2013 Workshop : Challenges in Representation Learning (WREPL) (07 2013).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures ICML 2013 Workshop : Challenges in Representation Learning (WREPL) (07 2013)
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation 1511f331-2593-47f6-bb41-600991caaa13 · outbound
This paper cites IEEE Access8, 51446– 51459 (2020).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures IEEE Access8, 51446– 51459 (2020)
Reference 27
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Reference 28
- Resolution
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0f37b2e8-265b-41fd-ada4-fb353b05a69c · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE/CVF International Conference on Computer Vision
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation a2123c96-02c1-41b7-8f72-c6679dd5d5d7 · outbound
This paper cites Neurocomputing338, 139–153 (2019).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Neurocomputing338, 139–153 (2019)
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6238184-3b77-4b9f-bfb5-8d816843f922 · outbound
This paper cites IEEE transactions on pattern analysis and machine intelligence41(9), 1956–1970 (2018).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures IEEE transactions on pattern analysis and machine intelligence41(9), 1956–1970 (2018)
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 51ed5ce3-1e5c-48f3-80cc-0e5f2bda8e88 · outbound
This paper cites Psychology of Learning and Motivation, vol.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Psychology of Learning and Motivation, vol
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation ab11abf0-e6d4-47e3-9655-d14c0b70c30d · outbound
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CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Unresolved cited work
Reference 33
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Source-reported events for the cited work
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Observation 84d1ba4e-11e2-4b72-ad98-efa8bd74e572 · outbound
This paper cites In: 2017 25th European Signal Processing Conference (EUSIPCO).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: 2017 25th European Signal Processing Conference (EUSIPCO)
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b2b2e600-c4af-49ff-b1c4-55185e2c234f · outbound
This paper cites In: IEEE Confer- ence on Computer Vision and Pattern Recoginition (CVPR) (2020).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: IEEE Confer- ence on Computer Vision and Pattern Recoginition (CVPR) (2020)
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation cd3f1776-ae3e-475a-834c-6495edb565eb · outbound
This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2ccd8d3a-9f3a-47b2-acd3-73b6265e20b7 · outbound
This paper cites an unresolved cited work.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Unresolved cited work
Reference 37
- Resolution
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- raw_fallback, observed 2026-08-11T11:16:30.317472Z
Source-reported events for the cited work
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Observation 679549d4-7d25-4feb-b0e4-1a0b6c0e07aa · outbound
This paper cites IEEE Transactions on Intelligent Transportation Systems PP, 1–10 (10 2017).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures IEEE Transactions on Intelligent Transportation Systems PP, 1–10 (10 2017)
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b570e537-6b47-4a40-99c2-907f99b5901e · outbound
This paper cites IEEE Access 11, 54296–54336 (2023).https://doi.org/10.1109/ACCESS.2023.3277785.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures IEEE Access 11, 54296–54336 (2023).https://doi.org/10.1109/ACCESS.2023.3277785
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c47b9c7e-4a12-4db4-a10b-fa3d992829bd · outbound
This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35304409-0d4d-4d33-b74d-b358c52cd51a · outbound
This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vision.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE/CVF winter conference on applications of computer vision
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0ee0306d-2107-449e-bb6e-29f3c254ba2f · outbound
This paper cites In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reference 42
- Resolution
- verified exact
- raw_fallback, observed 2026-08-11T11:16:29.332439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bd236be1-a531-46a6-a8e8-7a83416561f7 · outbound
This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE/CVF international conference on computer vision
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:30.220925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3bb91842-c4de-4363-b640-116887fa02c5 · outbound
This paper cites In: International conference on machine learning.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: International conference on machine learning
Reference 44
- Resolution
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- raw_fallback, observed 2026-08-11T11:16:30.194816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 87225bf3-0f6d-4635-8000-1a7c660f2d4a · outbound
This paper cites In: AIP Conference Proceedings.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: AIP Conference Proceedings
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:30.167535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 327268a3-2543-4d10-a097-f1811aa46348 · outbound
This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d447e3c-0b26-40b9-95d2-3a0f955ee3a7 · outbound
This paper cites In: The European Conference on Computer Vision (ECCV) (August 2020).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: The European Conference on Computer Vision (ECCV) (August 2020)
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:30.083925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 432bf3b8-7ce4-459a-8609-13059d80d460 · outbound
This paper cites Automation in Construction153, 104939 (2023).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Automation in Construction153, 104939 (2023)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:30.059155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 81e9799b-362f-418f-91e7-fc5c2fbf0db2 · outbound
This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:30.024907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 59fe5ea1-c9d0-4452-9b54-1c71bd3e9380 · outbound
This paper cites IEEE Transactions on Intelligent Transportation Systems21(4), 1525–1535 (2019).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures IEEE Transactions on Intelligent Transportation Systems21(4), 1525–1535 (2019)
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:16:28.997858Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f23e589-b006-4604-ab12-c5e612a14e0f · outbound
This paper cites Computer-Aided Civil and Infrastructure Engineering 32(10), 805–819 (2017).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Computer-Aided Civil and Infrastructure Engineering 32(10), 805–819 (2017)
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:16:29.009341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a61057ec-f16b-406c-8868-67a472242b7e · outbound
This paper cites Srivastava et al.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Srivastava et al
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:29.954389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 521ae047-e880-4e9c-a748-db3cc22b158d · outbound
This paper cites Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:16:29.032925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 633b9374-55d0-4d8c-a30c-dd6a361357f7 · outbound
This paper cites In: Proceedings of the IEEE International Conference on Computer Vision.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE International Conference on Computer Vision
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:29.930712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 826ddb83-82f7-4458-a533-c9582982aed8 · outbound
This paper cites Pattern Recognition Letters33(3), 227–238 (2012).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Pattern Recognition Letters33(3), 227–238 (2012)
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:29.906630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6d143ab7-be67-4898-881a-9100539a351c · outbound
This paper cites In: Proceedings of the Eu- ropean Conference on Computer Vision (ECCV).
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the Eu- ropean Conference on Computer Vision (ECCV)
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:29.882976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3e0fe489-df4e-4111-9b38-5527006d0339 · outbound
This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures In: Proceedings of the IEEE/CVF international conference on computer vision
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:16:29.858420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 76fb665b-c1f0-4990-a177-6f32a7dc8c40 · outbound
This paper cites an unresolved cited work.
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Unresolved cited work
Reference 791
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T11:16:30.137204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.