Paper Citation Record · LEDGER

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.07009.

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

pith.paper-citation-record.v1
2412.07009 v2

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T05:03:24.196174Z

measured 44 of 44 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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 594444e6-60bf-4deb-ad98-9f46f08ba6b2 · outbound

This paper cites Cbla: Color balanced locally adjustable underwater image enhancement,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Cbla: Color balanced locally adjustable underwater image enhancement,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:27.425213Z

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Observation bf06ba02-36be-461f-83b9-e3c850421364 · outbound

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

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Underwater scene prior inspired deep underwater image and video enhancement,

Reference 2

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Observation 32fdbd21-f1d0-414a-a050-8f105aaa9acf · outbound

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

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection An underwater image enhancement benchmark dataset and beyond,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:27.300913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b621e9af-b4b8-403a-9c0e-f8c9827869f8 · outbound

This paper cites Domain adversarial learning towards underwater image enhancement,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Domain adversarial learning towards underwater image enhancement,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:27.236202Z

Source-reported events for the cited work

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Observation 1e76742b-4f2f-4bd0-bf50-72e1d4aeadef · outbound

This paper cites U-shape transformer for underwater image enhancement,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection U-shape transformer for underwater image enhancement,

Reference 5

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Source-reported events for the cited work

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Observation 68155d90-6fd9-41ab-ab08-81fe699261e0 · outbound

This paper cites UVEB: A large-scale benchmark and baseline towards real-world underwater video enhancement,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection UVEB: A large-scale benchmark and baseline towards real-world underwater video enhancement,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:27.167331Z

Source-reported events for the cited work

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Observation 7d4f5c33-015c-4337-8711-7245dbba27b8 · outbound

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

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Fast underwater image enhancement for improved visual perception,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:27.047829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2ab770a-dd3f-4e69-805d-30aa5899cbbf · outbound

This paper cites Self-supervised underwater image generation for underwater domain pre-training,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Self-supervised underwater image generation for underwater domain pre-training,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.990170Z

Source-reported events for the cited work

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Observation 0760d1f4-4c5a-4367-9dbe-ac8d8a007a16 · outbound

This paper cites A systematic review and analysis of deep learning-based underwater object detection,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection A systematic review and analysis of deep learning-based underwater object detection,

Reference 9

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Observation 93f6756c-ee3b-43b6-b147-b11bd6f9eb0c · outbound

This paper cites Is underwater image enhancement all object detectors need?.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Is underwater image enhancement all object detectors need?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.911360Z

Source-reported events for the cited work

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Observation dfa3f2ee-06e9-453d-845b-cab18fc7fa42 · outbound

This paper cites UW- CycleGAN: Model-driven cyclegan for underwater image restoration,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection UW- CycleGAN: Model-driven cyclegan for underwater image restoration,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.836868Z

Source-reported events for the cited work

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Observation 26a6dbff-56c7-48c3-96c5-e93e94563f83 · outbound

This paper cites Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwa- ter image enhancement,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwa- ter image enhancement,

Reference 12

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Observation 6552506c-9655-4539-9dc9-6b2d3f2a38c5 · outbound

This paper cites CURE-Net: a cascaded deep network for underwater image enhancement,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection CURE-Net: a cascaded deep network for underwater image enhancement,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.751920Z

Source-reported events for the cited work

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Observation a787cd82-1063-4ae3-a0ed-24f7c2de010d · outbound

This paper cites A lightweight object detection framework for underwater imagery with joint image restoration and color transformation,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection A lightweight object detection framework for underwater imagery with joint image restoration and color transformation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.693810Z

Source-reported events for the cited work

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Observation 2e08d6e8-b20d-4037-beff-75da95e38c8b · outbound

This paper cites Unitmodule: A lightweight joint image enhancement module for underwater object detection,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Unitmodule: A lightweight joint image enhancement module for underwater object detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.622159Z

Source-reported events for the cited work

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Observation 54d8b0b8-5e3f-44b4-aba7-1414d8a357db · outbound

This paper cites Yolotrashcan: A deep learning marine debris detection network,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Yolotrashcan: A deep learning marine debris detection network,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.602054Z

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Observation 00f56870-cace-40d8-b40d-62a675ec663b · outbound

This paper cites Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.478296Z

Source-reported events for the cited work

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Observation 173ce857-9724-4b8e-a226-7d0654458bfb · outbound

This paper cites A dual-branch joint learning network for underwater object detection,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection A dual-branch joint learning network for underwater object detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.440617Z

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Observation 4c16c02e-a16b-4434-8a47-b7d1d16c56d4 · outbound

This paper cites A reinforcement learning paradigm of configuring visual enhancement for object detection in underwater scenes,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection A reinforcement learning paradigm of configuring visual enhancement for object detection in underwater scenes,

Reference 19

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Observation 8311ecf8-5825-4f14-9627-7a6424b5da3b · outbound

This paper cites MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features

Reference 20

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Source-reported events for the cited work

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Observation 6f317040-fd59-4783-a371-5be7cbdcf7e7 · outbound

This paper cites Refined defect detector with deformable transformer and pyramid feature fusion for pcb detection,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Refined defect detector with deformable transformer and pyramid feature fusion for pcb detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.263675Z

Source-reported events for the cited work

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Observation 7e1812dd-b3e8-4b03-9a82-e2ec912c63ab · outbound

This paper cites Ad-yolo: A real- time yolo network with swin transformer and attention mechanism for airport scene detection,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Ad-yolo: A real- time yolo network with swin transformer and attention mechanism for airport scene detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:26.073993Z

Source-reported events for the cited work

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Observation bdd0b228-393c-475f-a942-686958e14e5a · outbound

This paper cites Visibility in bad weather from a single image,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Visibility in bad weather from a single image,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:25.969990Z

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Observation 6414f9bc-74fb-4ac9-8bd3-b2197368a460 · outbound

This paper cites Underwater image enhancement by wavelength compensation and dehazing,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Underwater image enhancement by wavelength compensation and dehazing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:25.829900Z

Source-reported events for the cited work

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Observation 54c8010b-3b37-4335-9147-ac96ddbba5a2 · outbound

This paper cites ultralytics/yolov5: v6. 2-yolov5 classification models, apple m1, reproducibility, clearml and deci. ai integrations,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection ultralytics/yolov5: v6. 2-yolov5 classification models, apple m1, reproducibility, clearml and deci. ai integrations,

Reference 25

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Observation 6c8fdc0a-3c75-403c-a33b-58349921e3c7 · outbound

This paper cites Deriving inherent optical properties from background color and underwater image enhancement,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Deriving inherent optical properties from background color and underwater image enhancement,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:25.760205Z

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Observation dd1ce07b-b0aa-484b-bd2c-bda63243100d · outbound

This paper cites Indoor scene segmentation using a structured light sensor,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Indoor scene segmentation using a structured light sensor,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:25.623179Z

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Observation 42ae034c-dfd0-40d4-8ee6-0c83388488c3 · outbound

This paper cites Light and water: Radiative transfer in natural waters,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Light and water: Radiative transfer in natural waters,

Reference 28

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Source-reported events for the cited work

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Observation 62c92372-cf33-414e-a20c-ea08da68251a · outbound

This paper cites Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:25.509349Z

Source-reported events for the cited work

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Observation 8cd9578f-e1ac-4ea5-9f01-a5a3495047ef · outbound

This paper cites An efficient advanced- yolov8 framework for thz object detection,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection An efficient advanced- yolov8 framework for thz object detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:25.356216Z

Source-reported events for the cited work

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Observation 809596bf-547b-46a3-8754-79cd52fbb7b7 · outbound

This paper cites Sea-thru: A method for removing water from underwater images,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Sea-thru: A method for removing water from underwater images,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:25.200191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed20c965-3bc4-4e8c-b2ac-cbb056c9f013 · outbound

This paper cites A Fusion Adversarial Underwater Image Enhancement Network with a Public Test Dataset.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection A Fusion Adversarial Underwater Image Enhancement Network with a Public Test Dataset

Reference 32

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Source-reported events for the cited work

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Observation 621edb32-697d-44e4-9c5f-a39f24d23725 · outbound

This paper cites A dataset to evaluate underwater image restoration methods,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection A dataset to evaluate underwater image restoration methods,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:25.141030Z

Source-reported events for the cited work

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Observation 25c531b9-091c-4227-bb3c-31ce1e08a986 · outbound

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

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Underwater image enhancement via medium transmission-guided multi-color space embedding,

Reference 34

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Source-reported events for the cited work

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Observation 4f4407d8-d817-4eaa-8f76-7a1b8be81c64 · outbound

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

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Twin adversarial contrastive learning for underwater image enhancement and beyond,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:23.877007Z

Source-reported events for the cited work

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Observation 1d1e10ab-6721-41c3-8083-f678b91a6ba1 · outbound

This paper cites Domain adaptation for underwater image enhancement,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Domain adaptation for underwater image enhancement,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:23.887698Z

Source-reported events for the cited work

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Observation c0575187-4790-4e34-8443-350c09ccc62d · outbound

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

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection An underwater color image quality evaluation metric,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:23.895489Z

Source-reported events for the cited work

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Observation 92d15b1b-d282-47ff-a461-78aee6c5de5a · outbound

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

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Human-visual-system-inspired underwater image quality measures,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:24.982962Z

Source-reported events for the cited work

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Observation 07ff5235-adb1-4d41-bca5-fcdc83025e13 · outbound

This paper cites Rethinking general underwater object detection: Datasets, challenges, and solutions,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Rethinking general underwater object detection: Datasets, challenges, and solutions,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:24.938057Z

Source-reported events for the cited work

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Observation 560d217d-7899-4adf-8a5e-f373be4deb8e · outbound

This paper cites A dataset and benchmark of underwater object detection for robot picking,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection A dataset and benchmark of underwater object detection for robot picking,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:24.756181Z

Source-reported events for the cited work

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Observation 083c8046-9ac1-4f1a-a2fe-9624e7b5d674 · outbound

This paper cites A gated cross-domain collaborative network for underwater object detection,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection A gated cross-domain collaborative network for underwater object detection,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:24.730385Z

Source-reported events for the cited work

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Observation b37305f6-2207-4b40-90f4-7ba0aa7dbec9 · outbound

This paper cites Learning heavily- degraded prior for underwater object detection,.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Learning heavily- degraded prior for underwater object detection,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:24.648758Z

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Observation cd0c9ad9-2078-4aea-8688-a316fe360802 · outbound

This paper cites Her research interests include numerical optimization, computer vision, and image processing.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection Her research interests include numerical optimization, computer vision, and image processing

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:24.422992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6a38a71-3a4d-4064-b81d-828dab5bbb88 · outbound

This paper cites His research interests include computer vi- sion and image processing.

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection His research interests include computer vi- sion and image processing

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:24.458125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.