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Paper Citation Record · LEDGER

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism

As of 14 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2502.05788.

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

pith.paper-citation-record.v1
2502.05788 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:02:48.351095Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:44:01.746455Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:44:04.330363Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact15
  • verified fuzzy6
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2a77037-6eca-4794-8f61-29c2133ee154 · outbound

This paper cites Potential Efficiency of Earth Observation for Optimum Fishing Zone Detection of the Pelagic Sardinella Aurita Species along the Mediterranean Coast of Egypt.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Potential Efficiency of Earth Observation for Optimum Fishing Zone Detection of the Pelagic Sardinella Aurita Species along the Mediterranean Coast of Egypt

Reference 2

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.552218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation df37eaf2-e099-495b-8ae8-ecb145142caa · outbound

This paper cites an unresolved cited work.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.541034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0688deb4-1526-47c8-a643-2b6125fe6c29 · outbound

This paper cites A Marine Organism Detection Framework Based on the Joint Optimization of Image Enhancement and Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism A Marine Organism Detection Framework Based on the Joint Optimization of Image Enhancement and Object Detection

Reference 4

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.530466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1a539052-1a2a-4776-99ee-98bd205d09b3 · outbound

This paper cites Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denois- ing.Engineering Applications of Artificial Intelligence 2022 , 111, 104759.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denois- ing.Engineering Applications of Artificial Intelligence 2022 , 111, 104759

Reference 5

Resolution
metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.213334Z digest=sha256:191a8ad3717c5fff06c9268ef4a0a834ce7dd585a9262e57eaebe5240421fcc7

Observation a67100ee-eef6-4a1d-8a72-df224bbee5bd · outbound

This paper cites Enhanced Frequency Fusion Network with Dynamic Hash Attention for Image Denoising.Information Fusion 2023 , 92, 420–434.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Enhanced Frequency Fusion Network with Dynamic Hash Attention for Image Denoising.Information Fusion 2023 , 92, 420–434

Reference 6

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.519271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 38a5f6a8-9a24-4f1e-8656-43c40031adc6 · outbound

This paper cites Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset 2020.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset 2020

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation dab6072e-daaf-4d45-8999-ce0d15bc1855 · outbound

This paper cites an unresolved cited work.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Unresolved cited work

Reference 9

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unresolved
raw_fallback, observed 2026-08-08T18:02:49.242460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.229315Z digest=sha256:ffd6c89eb5f2ba6149fb08932eb3ca14c1659169a6f7bb9c1eac97cc0d0014b6

Observation 3b86417e-ec43-43ff-9f11-640574c19ed1 · outbound

This paper cites Feature Pyramid Networks for Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Feature Pyramid Networks for Object Detection

Reference 10

Resolution
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no resolver link, observed 2026-08-08T18:02:48.233314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.233314Z digest=sha256:7c30aa723f83e94a13da9d34e36bb591fb1f244e74a0fa3dbb7dd832dee58343

Observation 083d3adc-56f1-4afe-a80e-222b987db426 · outbound

This paper cites NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

Reference 11

Resolution
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no resolver link, observed 2026-08-08T18:02:48.237193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.237193Z digest=sha256:ed9f7ba834dbfba5bd3124ddfdaee48e62cd51b6c26337b5f024b4bcaeb90712

Observation 9bc63048-ffaa-4a21-9bdb-7ac0a47c0d2f · outbound

This paper cites EfficientDet: Scalable and Efficient Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism EfficientDet: Scalable and Efficient Object Detection

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5defe374-f9ff-4503-9cfc-31e3518b0eee · outbound

This paper cites CARAFE: Content-Aware ReAssembly of FEatures.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism CARAFE: Content-Aware ReAssembly of FEatures

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-08T18:02:48.958717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a8c3bd35-e6a8-4f1b-96d9-f44316edf4bc · outbound

This paper cites YOLOv8 by Ultralytics.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv8 by Ultralytics

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:02:49.231422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1d5c811e-66dd-40f2-a982-06ca257e1a88 · outbound

This paper cites Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:02:49.220301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.256618Z digest=sha256:3be9a25240c6d96098d0d24e5b382445702c336a2473e86675d837777d22c442

Observation ef4a1a02-1e5c-455b-91bf-eb6f8fe99013 · outbound

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

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 17

Resolution
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no resolver link, observed 2026-08-08T18:02:48.264230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.264230Z digest=sha256:fa7e73fab3c65e83e882fd01cc0a598fe6ef7b1067f9a7f54d31c99d52fb1d84

Observation d5a24d70-f4f7-4ff7-9272-91139c9b3004 · outbound

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

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism You Only Look Once: Unified, Real-Time Object Detection

Reference 18

Resolution
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no resolver link, observed 2026-08-08T18:02:48.268254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.268254Z digest=sha256:2a83766808150ac69d5aa99804fe868ca532e98bb63fadef03c7b7e08024ca43

Observation 8f7277db-4d8a-424b-a3ed-c1b86423272c · outbound

This paper cites YOLO9000: Better, Faster, Stronger.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLO9000: Better, Faster, Stronger

Reference 19

Resolution
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no resolver link, observed 2026-08-08T18:02:48.272138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.272138Z digest=sha256:70468367f4ba22379af0ef8363b3ea067be9f26951e5653ae00ee939ebf9b232

Observation 7bef2874-62cb-4edf-9bb2-9147eaaa8287 · outbound

This paper cites YOLOv3: An Incremental Improvement.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv3: An Incremental Improvement

Reference 20

Resolution
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no resolver link, observed 2026-08-08T18:02:48.276432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.276432Z digest=sha256:3f08b6ed0f18369492333dbfc31909a0fad1620ad7f360d5374fc2545d338d59

Observation d468e676-506c-4c0d-90cf-14cfe6608660 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T18:02:48.280631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.280631Z digest=sha256:aee769b7d4088bfe415192a94da4e7a78b16ab1abcef58afff3b91519f09ec9a

Observation 8b0b1b01-e62c-4e58-bd4d-304f34ba43d1 · outbound

This paper cites YOLOv5 by Ultralytics.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv5 by Ultralytics

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:02:49.208864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.284735Z digest=sha256:af34c91bc2459163bb5e7d401a1b630308b45548db619ae78a0dac5276f5c09d

Observation 2dd3f4cc-5fc9-4113-99eb-37ddce565a85 · outbound

This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T18:02:48.288561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.288561Z digest=sha256:20602941594e175044cbfff379f52523c8f3034ff5e96647806d741a19ce7e46

Observation d8436c68-cac4-45a5-ad82-47aecb451917 · outbound

This paper cites YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real- Time Object Detectors.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real- Time Object Detectors

Reference 24

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T18:02:48.868381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.292584Z digest=sha256:9026b827fad276682faed9cdc78a46d65a197e819b373b76bd9810cb43262827

Observation 2ee5b923-309a-4207-bee0-fa609818c84a · outbound

This paper cites SSD: Single Shot MultiBox Detector.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism SSD: Single Shot MultiBox Detector

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-08T18:02:49.197042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 67806a20-98ae-468f-8f70-7f46f9406e7d · outbound

This paper cites Focal Loss for Dense Object Detection.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Focal Loss for Dense Object Detection

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T18:02:48.300035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.300035Z digest=sha256:8d5d4afece27d342e8cdcaee1c9da44605da595333cb331f1ec742f798632cf1

Observation 43cffd6e-472f-41db-ae15-0a580a55e5a9 · outbound

This paper cites Underwater Object Detection Using TC-YOLO with Attention Mechanisms.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Underwater Object Detection Using TC-YOLO with Attention Mechanisms

Reference 27

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.474463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.304112Z digest=sha256:9862e6dc0a595241e2843cbae3c8d8287e6817e6a682fb2109bc5088d251dca6

Observation 05b22e29-4a7a-470b-b3ad-abcd1a7e5e27 · outbound

This paper cites Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features

Reference 28

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.464008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.308576Z digest=sha256:1fd4d01a34b27ef7b9d130e2186aa5870cf4551a4e8ff459d3a9d7b71093396b

Observation 4cecaf26-e827-4d14-b0f8-aa8a2a6c8875 · outbound

This paper cites Student Behavior Detection in the Classroom Based on Improved YOLOv8.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Student Behavior Detection in the Classroom Based on Improved YOLOv8

Reference 29

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.452788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.313762Z digest=sha256:2f9ba94ca73275dccefcc392442b18997eae86388374aaacf9e3ef8aeb9b7a4b

Observation 7e1d5f85-776c-48ba-9406-ad67ab7da2e7 · outbound

This paper cites CBAM: Convolutional Block Attention Module.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism CBAM: Convolutional Block Attention Module

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:02:49.183274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.318321Z digest=sha256:8c94881639a13f897268ecaba4ceffec03ea69568372efef844d10e3cd7b3831

Observation dcd7c136-61fe-41a7-b121-46f1095dda53 · outbound

This paper cites Residual Attention Network for Image Classification.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Residual Attention Network for Image Classification

Reference 31

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.440805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.323409Z digest=sha256:859e1e836ad87e249715e3b20a3e73aaf7dead214f5814580264238aa4629b60

Observation 245740ec-e44d-46b9-b57e-be98828dfe42 · outbound

This paper cites Meta-SR: A Magnification-Arbitrary Network for Super-Resolution.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Meta-SR: A Magnification-Arbitrary Network for Super-Resolution

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T18:02:48.327223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:02:48.327223Z digest=sha256:dcb995e0e790ebe325c64a809d622b84e4290fdcfd77da3ea05c58a97728c611

Observation f67792e5-5842-486b-b94b-aec7dac7cb57 · outbound

This paper cites Cattle Body Detection Based on YOLOv5-EMA for Precision Livestock Farming.Animals 2023, 13, 3535.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Cattle Body Detection Based on YOLOv5-EMA for Precision Livestock Farming.Animals 2023, 13, 3535

Reference 33

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.428638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.331039Z digest=sha256:e3fbd559299d54d467b8ca62898fa059be6d046d1021658a3a5ebab9c5a2463c

Observation d107ace9-e713-4061-9acf-76d44b08e142 · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 34

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T18:02:48.657993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.335228Z digest=sha256:91c69b9c9d50972de23e9b17e395e9b22cd2d856641c21978b99a0a62d980c4d

Observation 5e648ac9-95d2-42ee-b830-cc66ccfcc7de · outbound

This paper cites MSA-YOLO: A Remote Sensing Object Detection Model Based on Multi-Scale Strip Attention.Sensors 2023, 23, 6811.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism MSA-YOLO: A Remote Sensing Object Detection Model Based on Multi-Scale Strip Attention.Sensors 2023, 23, 6811

Reference 35

Resolution
verified exact
doi, observed 2026-08-08T18:02:48.416851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T18:02:48.338918Z digest=sha256:7826957a0e6686e6e75109f8a0a2431d7f4029844c48bbf7b1c4ae785756bb36

Observation 473d30b3-648d-4a54-a31a-d02db62b2437 · outbound

This paper cites Transformer-Based Object Detection with Deep Feature Fusion Using Carafe Operator in Remote Sensing Image.EAI Endorsed Transactions on Energy Web2023, 10.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Transformer-Based Object Detection with Deep Feature Fusion Using Carafe Operator in Remote Sensing Image.EAI Endorsed Transactions on Energy Web2023, 10

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Resolution
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7f30ae92-7d75-4641-81ec-ab0d84be034c · outbound

This paper cites Boosting R-CNN: Reweighting R-CNN Samples by RPN’s Error for Underwater Object Detection.Neurocomputing 2023 , 530, 150–164.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Boosting R-CNN: Reweighting R-CNN Samples by RPN’s Error for Underwater Object Detection.Neurocomputing 2023 , 530, 150–164

Reference 37

Resolution
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation dc3bbd11-995b-4774-b9a1-e27df58f8356 · outbound

This paper cites An Improved YOLOv5-Based Underwater Object-Detection Framework.Sensors 2023, 23, 3693.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism An Improved YOLOv5-Based Underwater Object-Detection Framework.Sensors 2023, 23, 3693

Reference 38

Resolution
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Unavailable: canonical work link unavailable.

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Observation fd5ffa0a-f10b-4768-ac14-baab0bc84055 · outbound

This paper cites an unresolved cited work.

EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism Unresolved cited work

Reference 2014

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Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 3fc2769c-ea9a-486d-b88c-1b8c41c288d0 · inbound

Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation cites this paper.

Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed Augmentation EPBC-YOLOv8: An efficient and accurate improved YOLOv8 underwater detector based on an attention mechanism

Reference 43

Resolution
verified exact
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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