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Paper Citation Record · LEDGER

Underwater Image Enhancement with Cascaded Contrastive Learning

As of 17 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2411.10682.

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

pith.paper-citation-record.v1
2411.10682 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:31:21.310528Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ebbfe15-4fb1-4c24-bc99-eb354496c8a0 · outbound

This paper cites Applications of geo-referenced underwater photo mosaics in marine biology and archaeology,.

Underwater Image Enhancement with Cascaded Contrastive Learning Applications of geo-referenced underwater photo mosaics in marine biology and archaeology,

Reference 1

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Observation 1f25ad7d-ad13-4a01-9967-15b9daf77f3f · outbound

This paper cites Detecting marine organisms via joint attention-relation learning for marine video surveillance,.

Underwater Image Enhancement with Cascaded Contrastive Learning Detecting marine organisms via joint attention-relation learning for marine video surveillance,

Reference 2

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Observation e0150a85-0a3a-4dd6-b49f-aaea4dd5260b · outbound

This paper cites Bidirectional collaborative mentoring network for marine organism detection and be- yond,.

Underwater Image Enhancement with Cascaded Contrastive Learning Bidirectional collaborative mentoring network for marine organism detection and be- yond,

Reference 3

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Observation f0dabbb9-f964-4652-8c2a-3198da9225bf · outbound

This paper cites Inverse synthetic aperture sonar imaging of underwater vehicles utilizing 3-d rotations,.

Underwater Image Enhancement with Cascaded Contrastive Learning Inverse synthetic aperture sonar imaging of underwater vehicles utilizing 3-d rotations,

Reference 4

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Observation bf957c44-3b32-4f4a-b6d9-cb0f9ab33b53 · outbound

This paper cites An optical image transmission system for deep sea creature sampling mis- sions using autonomous underwater vehicle,.

Underwater Image Enhancement with Cascaded Contrastive Learning An optical image transmission system for deep sea creature sampling mis- sions using autonomous underwater vehicle,

Reference 5

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Observation 5b1abdce-ff82-4434-a0f2-2d09cd1ae7c8 · outbound

This paper cites Decoupled variational retinex for reconstruction and fusion of underwater shallow depth-of-field image with parallax and moving objects,.

Underwater Image Enhancement with Cascaded Contrastive Learning Decoupled variational retinex for reconstruction and fusion of underwater shallow depth-of-field image with parallax and moving objects,

Reference 6

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Observation 58ffdb8a-8731-4034-a581-5bd18d7ff116 · outbound

This paper cites Single image super-resolution quality assessment: a real-world dataset, subjective studies, and an objective metric,.

Underwater Image Enhancement with Cascaded Contrastive Learning Single image super-resolution quality assessment: a real-world dataset, subjective studies, and an objective metric,

Reference 7

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Observation a53bef4a-6f74-4025-b1d1-4e57a1152e39 · outbound

This paper cites Perception-and- cognition-inspired quality assessment for sonar image super-resolution,.

Underwater Image Enhancement with Cascaded Contrastive Learning Perception-and- cognition-inspired quality assessment for sonar image super-resolution,

Reference 8

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Observation 9d35a024-bce3-4884-accf-2fe92b2b134e · outbound

This paper cites Underwater optical imaging: the past, the present, and the prospects,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater optical imaging: the past, the present, and the prospects,

Reference 9

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Source-reported events for the cited work

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Observation 13a4e50f-1061-442b-8ce1-bf3440613cfc · outbound

This paper cites Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction,

Reference 10

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Observation 19b14902-ae5a-4996-b00c-2ae5d134ef75 · outbound

This paper cites Underwater image enhancement quality evaluation: Benchmark dataset and objective met- ric,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater image enhancement quality evaluation: Benchmark dataset and objective met- ric,

Reference 11

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Observation c80ac4d7-0112-4841-b338-4d7144053f48 · outbound

This paper cites Underwater image en- hancement with hyper-laplacian reflectance priors,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater image en- hancement with hyper-laplacian reflectance priors,

Reference 12

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Observation fc3dda7a-15ed-4d87-82ef-f961ffe8a465 · outbound

This paper cites Reference- free quality assessment of sonar images via contour degradation mea- surement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Reference- free quality assessment of sonar images via contour degradation mea- surement,

Reference 13

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Observation 324a02b4-bd91-4e21-bacb-57aac09ae3ea · outbound

This paper cites No-reference quality assessment of underwater image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning No-reference quality assessment of underwater image enhancement,

Reference 14

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Source-reported events for the cited work

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Observation 836af2be-37a1-49a4-b355-87ade1b72f32 · outbound

This paper cites Un- supervised decomposition and correction network for low-light image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Un- supervised decomposition and correction network for low-light image enhancement,

Reference 15

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Observation 129ec888-ed82-4874-809d-f5d3682c4783 · outbound

This paper cites DTKD- Net: Dual-teacher knowledge distillation lightweight network for water- related optics image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning DTKD- Net: Dual-teacher knowledge distillation lightweight network for water- related optics image enhancement,

Reference 16

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Observation 0d230b51-efe5-450a-afd6-b18cbe0643af · outbound

This paper cites Underwater image enhancement with lightweight cascaded network,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater image enhancement with lightweight cascaded network,

Reference 17

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Observation fa03fc7c-e3a2-466c-a5db-e9b0b5ad28ea · outbound

This paper cites Perception-driven deep underwater image enhancement without paired supervision,.

Underwater Image Enhancement with Cascaded Contrastive Learning Perception-driven deep underwater image enhancement without paired supervision,

Reference 18

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Observation 030fe0ff-d7b5-4735-b3d7-a325f9f9e210 · outbound

This paper cites Underwater scene prior inspired deep underwater image and video enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater scene prior inspired deep underwater image and video enhancement,

Reference 19

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Observation 3666ded2-c17f-4a30-800f-bbb919b31379 · outbound

This paper cites An underwater image enhancement benchmark dataset and beyond,.

Underwater Image Enhancement with Cascaded Contrastive Learning An underwater image enhancement benchmark dataset and beyond,

Reference 20

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Observation ec126d94-ea3a-4004-93ce-e51ec10497eb · outbound

This paper cites Underwater image enhancement via medium transmission-guided multi-color space embedding,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater image enhancement via medium transmission-guided multi-color space embedding,

Reference 21

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Observation 57248962-cdcc-4102-9ab1-906012ab20da · outbound

This paper cites HCLR-Net: Hybrid contrastive learning regularization with locally randomized perturbation for underwater image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning HCLR-Net: Hybrid contrastive learning regularization with locally randomized perturbation for underwater image enhancement,

Reference 22

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Observation bbadb182-c559-4fef-80bc-7e6233bef85f · outbound

This paper cites Dual-path joint correction network for underwater image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Dual-path joint correction network for underwater image enhancement,

Reference 23

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Observation 542afc83-e250-402a-8018-900446a30abb · outbound

This paper cites Five A$^{+}$ Network: You Only Need 9K Parameters for Underwater Image Enhancement.

Underwater Image Enhancement with Cascaded Contrastive Learning Five A$^{+}$ Network: You Only Need 9K Parameters for Underwater Image Enhancement

Reference 24

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Observation 5899a2a9-0ea0-420d-a6df-f423a7af5a81 · outbound

This paper cites Two-branch deep neural network for underwater image enhancement in HSV color space,.

Underwater Image Enhancement with Cascaded Contrastive Learning Two-branch deep neural network for underwater image enhancement in HSV color space,

Reference 25

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Observation 13f6f62c-7ced-469d-84f1-7a8cb51ed070 · outbound

This paper cites SGUIE-Net: Semantic attention guided underwater image enhancement with multi- scale perception,.

Underwater Image Enhancement with Cascaded Contrastive Learning SGUIE-Net: Semantic attention guided underwater image enhancement with multi- scale perception,

Reference 26

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Source-reported events for the cited work

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Observation bd9a6dac-e9fc-406b-a753-e986f4a49cff · outbound

This paper cites Semantic-aware texture-structure feature collaboration for underwater image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Semantic-aware texture-structure feature collaboration for underwater image enhancement,

Reference 27

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Source-reported events for the cited work

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Observation 937e4cf2-9580-44aa-bf65-67c6f741d4a5 · outbound

This paper cites A two-stage underwater enhancement network based on structure decom- position and characteristics of underwater imaging,.

Underwater Image Enhancement with Cascaded Contrastive Learning A two-stage underwater enhancement network based on structure decom- position and characteristics of underwater imaging,

Reference 28

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Source-reported events for the cited work

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Observation 61e5356c-a17b-48b3-8734-a9f6668623c6 · outbound

This paper cites Contrastive learning for compact single image dehazing,.

Underwater Image Enhancement with Cascaded Contrastive Learning Contrastive learning for compact single image dehazing,

Reference 29

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Observation a78caa67-7aaf-4898-99b4-5378f2089806 · outbound

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

Underwater Image Enhancement with Cascaded Contrastive Learning ImageNet classification with deep convolutional neural networks,

Reference 30

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Source-reported events for the cited work

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Observation 1a303b42-ccfd-426b-821c-597b4dc0ea27 · outbound

This paper cites ImageNet: A large-scale hierarchical image database,.

Underwater Image Enhancement with Cascaded Contrastive Learning ImageNet: A large-scale hierarchical image database,

Reference 31

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Source-reported events for the cited work

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Observation e793b857-3e08-480f-8d53-056f4ed0c803 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Underwater Image Enhancement with Cascaded Contrastive Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 32

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Observation d1ebd6a1-490e-4ebf-b447-d99f3104c9bf · outbound

This paper cites Deep residual learning for image recognition,.

Underwater Image Enhancement with Cascaded Contrastive Learning Deep residual learning for image recognition,

Reference 33

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Source-reported events for the cited work

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Observation dabc5f7f-d8b5-4bb0-b70a-cd7a18e28e61 · outbound

This paper cites Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connec- tions,.

Underwater Image Enhancement with Cascaded Contrastive Learning Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connec- tions,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4cd7e9f6-9a5a-4f07-9cdf-9c4ddc656d8d · outbound

This paper cites A deep CNN method for un- derwater image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning A deep CNN method for un- derwater image enhancement,

Reference 35

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raw_fallback, observed 2026-08-12T19:31:21.489523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.264302Z digest=sha256:5cde80b7fb6f3a4da29002683b9f2d67ac12bd4ea4080f9b1b5c7c77040aca70

Observation 67bbe465-2a08-4bad-bdb7-1d044d5edf10 · outbound

This paper cites Uncertainty inspired underwater image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Uncertainty inspired underwater image enhancement,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:21.266526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:31:21.266526Z digest=sha256:140d671bef6d826942760567393eb97814671d395a798ce4711928f08873312b

Observation 4b38a362-7ca0-41af-8549-02767ba20a11 · outbound

This paper cites Underwater ranker: Learn which is better and how to be better,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater ranker: Learn which is better and how to be better,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.477288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.268734Z digest=sha256:798f0e0410f7b6132491ef4099738fa4f345c76188f20d2da7ca697060bb5810

Observation 72d72258-ed5a-47f6-b43b-d0f290b5db45 · outbound

This paper cites Data-efficient image recognition with contrastive predictive coding,.

Underwater Image Enhancement with Cascaded Contrastive Learning Data-efficient image recognition with contrastive predictive coding,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.469547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.271019Z digest=sha256:dce90f9fc8ce5ad47f159ee1717ddd92410c8a38b5813ed7f57bf4a32efa0299

Observation 86ad3c9b-c1b0-425f-8510-e451b58f42ea · outbound

This paper cites Contrastive multiview coding,.

Underwater Image Enhancement with Cascaded Contrastive Learning Contrastive multiview coding,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.462175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.273166Z digest=sha256:2f813607f60097c53d306ffbfb49944e46a04e37a3cf6ef86c8059c30d29f1ec

Observation f839c314-a7cf-427a-b237-907ec1f03a02 · outbound

This paper cites Time-contrastive networks: Self-supervised learning from video,.

Underwater Image Enhancement with Cascaded Contrastive Learning Time-contrastive networks: Self-supervised learning from video,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.455297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.275148Z digest=sha256:c12bcbfe2670e6430602638e5d458c155cc2f37d232bc9467e96bff1c8203314

Observation cd4614a5-9c70-4063-9b0d-6b922f20edc6 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Underwater Image Enhancement with Cascaded Contrastive Learning A simple framework for contrastive learning of visual representations,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.448170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.277376Z digest=sha256:5d70e1dcaf39a7ceb8910f88fdbb624d2a022b09ea6572dca1475367a435d45c

Observation 991fe70c-1634-4526-9f3f-775ae477a76a · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Underwater Image Enhancement with Cascaded Contrastive Learning Momentum contrast for unsupervised visual representation learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.440524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.279684Z digest=sha256:04b76f4e3e0bd9cb5569f51cd573ecff08d39480a102aa5b0f34a314e6548689

Observation 82d23835-0e25-4ae7-a4e5-b8e35b34ad4c · outbound

This paper cites UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning.

Underwater Image Enhancement with Cascaded Contrastive Learning UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-12T19:31:21.336551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.281904Z digest=sha256:62c717dc6b6d1f5bfe5b1721b6d74b8a0e5189b43e513e6e7a00a4db4b76a249

Observation 6e95e23e-573d-4baa-92d5-7428fa0d43b5 · outbound

This paper cites Twin adversarial contrastive learning for underwater image enhancement and beyond,.

Underwater Image Enhancement with Cascaded Contrastive Learning Twin adversarial contrastive learning for underwater image enhancement and beyond,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:21.284597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:31:21.284597Z digest=sha256:55ae9e69668d204aacf64d103c0523b5462d90d83fe0f78d70757e23327df073

Observation d422e7e9-1221-4181-b907-056432d20f1d · outbound

This paper cites FFA-Net: Feature fusion attention network for single image dehazing,.

Underwater Image Enhancement with Cascaded Contrastive Learning FFA-Net: Feature fusion attention network for single image dehazing,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.427916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.287067Z digest=sha256:25443e3bdcd2ae9ac65fa4fa69ca4d5002cf352f978387c00e47692a764e9270

Observation f3a1f534-d7fd-45f2-b15c-89bc4c72d062 · outbound

This paper cites Learning enriched features for fast image restoration and enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Learning enriched features for fast image restoration and enhancement,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.419787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.289300Z digest=sha256:4de1ae419e5e9b71d8db5c004cc5b886d950f3dfa512ed4ecc764d224d30b2bd

Observation 6b226410-2b77-4f46-a16b-2673e1d74a1c · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Underwater Image Enhancement with Cascaded Contrastive Learning Image quality assessment: from error visibility to structural similarity,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:21.291517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:31:21.291517Z digest=sha256:02b65d5dc4b85419ce5f66d0b665efa8437938bc22f7b71c71e222aa37fa653b

Observation 18c70858-14fd-4129-a1eb-d21cb740b95a · outbound

This paper cites Fast underwater image enhancement for improved visual perception,.

Underwater Image Enhancement with Cascaded Contrastive Learning Fast underwater image enhancement for improved visual perception,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:21.293847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:31:21.293847Z digest=sha256:70742e2c523323856ee7b7d83263a605e25b6d87440e45edf7fe56e2b9f8fe12

Observation 05b41f1a-42b3-484d-9b55-1f9c1e683290 · outbound

This paper cites Underwater single image color restoration using haze-lines and a new quantitative dataset,.

Underwater Image Enhancement with Cascaded Contrastive Learning Underwater single image color restoration using haze-lines and a new quantitative dataset,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.402767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.296141Z digest=sha256:41950b49ed6eaa743db92890e88fc3050e34102b75520f688f41ddea9b96e835

Observation 83fcb2ee-e13f-4a0b-abf5-78ba2806603f · outbound

This paper cites Real-world underwater enhancement: Challenges, benchmarks, and solutions under natural light,.

Underwater Image Enhancement with Cascaded Contrastive Learning Real-world underwater enhancement: Challenges, benchmarks, and solutions under natural light,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:21.298302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:31:21.298302Z digest=sha256:2100a575d1ce92b4c443788152ef775d09442e35533c6dd1c8a65e28ed56f9ee

Observation b4fcce42-ee34-4dcb-a519-fcb8fd0d3a8c · outbound

This paper cites Color balance and fusion for underwater image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Color balance and fusion for underwater image enhancement,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.390404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.300365Z digest=sha256:795439932931c4aa2a3083068a1bea23fb34018c7f96230847a589fec705830b

Observation 2969473d-5d14-45f5-9146-bca11d20c76e · outbound

This paper cites Enhancement of underwater images with statistical model of background light and optimization of transmission map,.

Underwater Image Enhancement with Cascaded Contrastive Learning Enhancement of underwater images with statistical model of background light and optimization of transmission map,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.382791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.302386Z digest=sha256:bc15f64fb77570e47a4974d1ed5cc160586dde126c672610f33e11434c8044ff

Observation 4f0c65e4-67fb-4d5f-a087-485651612faa · outbound

This paper cites Under- water image enhancement via minimal color loss and locally adaptive contrast enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning Under- water image enhancement via minimal color loss and locally adaptive contrast enhancement,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:21.304504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:31:21.304504Z digest=sha256:fe21a0f3690e735a2bef4ced1d967fdc27f66330bcc5bc245b8d7c7ed1fdfbfb

Observation c0164097-5b6c-4b07-b8b9-7d7646295fbf · outbound

This paper cites Human-visual-system-inspired underwater image quality measures,.

Underwater Image Enhancement with Cascaded Contrastive Learning Human-visual-system-inspired underwater image quality measures,

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:21.306472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:31:21.306472Z digest=sha256:9d5f146a5875d9a06feeac540123e023720a79a2174ad987c5103021eab49260

Observation a3a9278f-ed58-4a05-80b3-a5377d12f3e9 · outbound

This paper cites An underwater color image quality evaluation metric,.

Underwater Image Enhancement with Cascaded Contrastive Learning An underwater color image quality evaluation metric,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T19:31:21.308472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:31:21.308472Z digest=sha256:37869ae601b9537c7999698c2ba692b2de273879061de0fb939895148c98cb5e

Observation e9f1884d-758c-40a9-8b88-7c44194dc080 · outbound

This paper cites A perception- aware decomposition and fusion framework for underwater image enhancement,.

Underwater Image Enhancement with Cascaded Contrastive Learning A perception- aware decomposition and fusion framework for underwater image enhancement,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:31:21.360797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T19:31:21.310528Z digest=sha256:d5779aa5dbee40c7576baffdcd8ddbf3dde0af87fef07bf280e8f2e084b63cc4

Pith citing papers

No inbound Pith citation observations are available.