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Paper Citation Record · LEDGER

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 61 inbound Pith citation observations for arXiv:2209.02976.

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

pith.paper-citation-record.v1
2209.02976 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 61 of 61 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 61 of 61 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:31:30.591280Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:57.396006Z

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Outbound references

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Pith citing papers

Observation 4fed111c-0435-4ef0-8967-972066c64170 · inbound

YOLOv11: An Overview of the Key Architectural Enhancements cites this paper.

YOLOv11: An Overview of the Key Architectural Enhancements YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

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arxiv_id, observed 2026-05-12T13:29:16.355417Z

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=2026-05-12T13:29:16.307823Z digest=sha256:1cc70d30a48cae7ed9683778c65a50635a2f14d2b45db6d78a114b327c294a16

Observation 8285b822-62e3-4c43-93dd-b511cbde3136 · inbound

SL-YOLO: A Stronger and Lighter Drone Target Detection Model cites this paper.

SL-YOLO: A Stronger and Lighter Drone Target Detection Model YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 17

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source=pdf_text observed=2026-08-12T18:31:30.591280Z digest=sha256:2c976d11144b3ea04226b11cc649474e15f67ea9b8d9ab0f162e28cd1e6bd96e

Observation 19e5ddb9-8bcc-4ffd-94f8-d10a1611add2 · inbound

WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images cites this paper.

WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 25

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source=arxiv_source observed=2026-08-12T18:15:17.857273Z digest=sha256:cd2ec3438c6d1494e85535382a74da696e496139f45841f1e59254dc7b637ef9

Observation e9b1d663-dee1-473c-bb3f-efebe5cb14a2 · inbound

OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs cites this paper.

OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 32

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source=pdf_text observed=2026-08-12T14:07:42.057358Z digest=sha256:18e48b7a1ba957c62ef260b8d979b1966af4b77d58d4a490f7ac26b73937eab0

Observation 977e06cf-49a4-4357-9bb8-86bb1635c747 · inbound

MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues cites this paper.

MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 19

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source=pdf_text observed=2026-08-11T23:23:11.015411Z digest=sha256:da87ccb78d8e675b2edf8cdd761e91fa659acaf6c4a2521f677354b0bdc7dc2a

Observation 3e88a906-3e45-4ea5-82dd-89e11ceb337a · inbound

HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection cites this paper.

HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 32

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source=pdf_text observed=2026-08-11T21:58:08.398049Z digest=sha256:91eb2cd3640cfb6e05f58fcd5138848420e95b9e78c1f37b8a40fbf54f91e37b

Observation 6975fd79-2eac-4aa6-9b2c-123c696b77f6 · inbound

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection cites this paper.

YOLO-CCA: A Context-Based Approach for Traffic Sign Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 18

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source=pdf_text observed=2026-08-11T21:37:31.517886Z digest=sha256:694be8268a81822ac5ee19f6e4ba916c61d1f14ef51e25d96695f10cfd747584

Observation 8d12da9e-30d4-4e0a-9c21-2bce77878e95 · inbound

From classical techniques to convolution-based models: A review of object detection algorithms cites this paper.

From classical techniques to convolution-based models: A review of object detection algorithms YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 28

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source=pdf_text observed=2026-08-11T20:53:28.480516Z digest=sha256:3940c3c9853a7fab94f8dda33555b7572111ab60308517c70b1c750798fd9fb0

Observation c7ffa619-04f8-46ea-a941-51763f3d7b09 · inbound

MID: A Comprehensive Shore-Based Dataset for Multi-Scale Dense Ship Occlusion and Interaction Scenarios cites this paper.

MID: A Comprehensive Shore-Based Dataset for Multi-Scale Dense Ship Occlusion and Interaction Scenarios YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 35

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source=pdf_text observed=2026-08-11T20:19:09.581723Z digest=sha256:10d141cc0b5cd0d535b0ed98c1383de89923c73d882f054b42c024c7690c0f28

Observation 03ceee63-a975-43f2-8c1e-a5192422b524 · inbound

Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset cites this paper.

Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 20

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source=pdf_text observed=2026-08-11T19:31:19.940962Z digest=sha256:cddd023bc06c2f5c1d4731da27e37dec6a46597d8cf66a67bea9891c1f128523

Observation 23746229-9a89-4eb3-b937-b136c40847ec · inbound

RemDet: Rethinking Efficient Model Design for UAV Object Detection cites this paper.

RemDet: Rethinking Efficient Model Design for UAV Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 19

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source=arxiv_source observed=2026-08-11T16:28:46.787670Z digest=sha256:834251480806e2775ec7487422aece2f27b7810f53dc4b136ce377164494f4fa

Observation fba65e36-8957-43d2-ba98-31c5e47e11dd · inbound

Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images cites this paper.

Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 7

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source=pdf_text observed=2026-08-11T14:01:32.858775Z digest=sha256:8cbdb3e7e8d966ef346a413b8af0f2ca677534f07c4b333b1b365312eb761d89

Observation cf2b3693-3b43-421b-9874-8b10d46adeff · inbound

What is YOLOv6? A Deep Insight into the Object Detection Model cites this paper.

What is YOLOv6? A Deep Insight into the Object Detection Model YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 49

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source=pdf_text observed=2026-08-11T13:34:55.315283Z digest=sha256:2fe43b919f8d884425215e254b2d55ed931113ce87968db88610f003e4dee9c6

Observation 3256b79a-e4c1-4ee4-8ba5-2d4098c41210 · inbound

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection cites this paper.

Improving Generalization Performance of YOLOv8 for Camera Trap Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 24

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source=pdf_text observed=2026-08-11T13:11:25.493118Z digest=sha256:d7a0e0b2c6e04ea032c185daf34b152a2db9b652593153a96802e825df53252e

Observation 74b5b709-82f3-4186-803d-0134aaf05c93 · inbound

Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment cites this paper.

Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 39

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source=pdf_text observed=2026-08-11T04:59:19.160061Z digest=sha256:423693ec7b6407326cd21d6ce7a96db65fca9587fa5b7476705f794e0537275f

Observation d2a49fec-1089-4189-8673-55883eb4cd11 · inbound

RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar cites this paper.

RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 18

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source=pdf_text observed=2026-08-10T22:18:28.540205Z digest=sha256:611779794df1f1d8c0236562f6731db14cd69b3ba5efb7782cdc114947253d1a

Observation ab62e387-e1db-4db5-853e-d076c01a84f0 · inbound

RDD4D: 4D Attention-Guided Road Damage Detection And Classification cites this paper.

RDD4D: 4D Attention-Guided Road Damage Detection And Classification YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 80

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source=pdf_text observed=2026-08-10T22:07:44.614997Z digest=sha256:7081579fc82810384def47eab28d16ea3500c08a3a8ed42e76b602666fc97137

Observation 7616322b-285a-4883-9411-92fae25ede9a · inbound

Performance of YOLOv7 in Kitchen Safety While Handling Knife cites this paper.

Performance of YOLOv7 in Kitchen Safety While Handling Knife YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 19

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source=pdf_text observed=2026-08-10T21:15:57.311253Z digest=sha256:dbfa0e27a92e005501c8a2b91c2c13b01f1febcec6b73b7bd33589a8ea2ebc3f

Observation 41ba7a41-7f97-4d5d-974c-cc19702fbee0 · inbound

EDNet: Edge-Optimized Small Target Detection in UAV Imagery -- Faster Context Attention, Better Feature Fusion, and Hardware Acceleration cites this paper.

EDNet: Edge-Optimized Small Target Detection in UAV Imagery -- Faster Context Attention, Better Feature Fusion, and Hardware Acceleration YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 31

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source=pdf_text observed=2026-08-10T21:09:40.642134Z digest=sha256:b3b7748b0af4a949894ce7accedbbbbf574a2e3d2da8ac4cce7019d0c74162ad

Observation ac9a0626-b73a-42ac-a183-45d0794953b2 · inbound

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection cites this paper.

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 35

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source=pdf_text observed=2026-08-10T22:07:55.676732Z digest=sha256:2f580ca40676ebff4e5b4a7a0884d25343af40a6b70b434827e9321238146b93

Observation 90f22049-e8fe-49d4-b671-d42a32952384 · inbound

You Only Crash Once v2: Perceptually Consistent Strong Features for One-Stage Domain Adaptive Detection of Space Terrain cites this paper.

You Only Crash Once v2: Perceptually Consistent Strong Features for One-Stage Domain Adaptive Detection of Space Terrain YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 43

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source=pdf_text observed=2026-08-10T15:43:55.213045Z digest=sha256:0124c173a8082d898226277ffaa50c85a2765a290cb01b9798eabc53df929e37

Observation 757be2eb-00f2-4a4b-b15e-d2d3847f4829 · inbound

YOLOv4: A Breakthrough in Real-Time Object Detection cites this paper.

YOLOv4: A Breakthrough in Real-Time Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 25

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source=pdf_text observed=2026-08-08T23:20:54.083320Z digest=sha256:dadc5375cc76d88edfe1dab1a8b09490dbd5cbb3d6173d388b5ef3704b1665b9

Observation a707601d-5b82-4345-8b78-d903a1b26d4e · inbound

Drone Detection and Tracking with YOLO and a Rule-based Method cites this paper.

Drone Detection and Tracking with YOLO and a Rule-based Method YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 13

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source=pdf_text observed=2026-08-08T19:56:28.436450Z digest=sha256:037cba9187e92684531e817f35a2e8ea284db2723d2c618ad5748d07041c81a7

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

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

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

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source=pdf_text observed=2026-08-08T18:02:48.288561Z digest=sha256:acbe51994fbd110b688d7bd0d9b1f0d9ea6ad10f69cfcf5eb2bbd29ba449420c

Observation e39274fe-bd31-4e76-8adb-5647f601d5b2 · inbound

Foreign-Object Detection in High-Voltage Transmission Line Based on Improved YOLOv8m cites this paper.

Foreign-Object Detection in High-Voltage Transmission Line Based on Improved YOLOv8m YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 20

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source=pdf_text observed=2026-08-08T13:37:47.734116Z digest=sha256:3cfca75f00683818806e771eb4db1708766aa948c09600f6dd886f52e116a7cd

Observation 2751ca1e-00b6-4931-85a5-4208482c4ddd · inbound

Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP cites this paper.

Robust Vision-Based Runway Detection through Conformal Prediction and Conformal mAP YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 14

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source=arxiv_source observed=2026-08-07T15:00:37.987402Z digest=sha256:0c80c66e1a0a47418c40aee54d434983d669ac8d906a2bdfc7ff9a88432bcbc8

Observation a3146cba-626b-406a-b361-77a7d5631288 · inbound

SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification cites this paper.

SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 103

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source=pdf_text observed=2026-08-07T14:41:17.579616Z digest=sha256:739c8c05496f324ed3e3cc079238b2bb6b7b782c3607954a55485d0a42b7233e

Observation a05f031d-d32c-439e-b9a5-63b5ebd4435e · inbound

Robust Video-Based Pothole Detection and Area Estimation for Intelligent Vehicles with Depth Map and Kalman Smoothing cites this paper.

Robust Video-Based Pothole Detection and Area Estimation for Intelligent Vehicles with Depth Map and Kalman Smoothing YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 40

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source=pdf_text observed=2026-08-07T13:44:14.821637Z digest=sha256:27af2373225d98f8831fac9f32b12ced49ef3e0eb4efa5a02a9505e59cd87c83

Observation c46d7890-2129-41c7-8095-5b7d6f58b147 · inbound

MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection cites this paper.

MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 8

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source=pdf_text observed=2026-08-07T11:04:17.763273Z digest=sha256:91968634a5eb8295b90f06a819e4de4ae78b7c1f4542edae1c67d298f75e4cf1

Observation dfd86a87-5227-422b-a28a-19999556e571 · inbound

BakuFlow: A Streamlining Semi-Automatic Label Generation Tool cites this paper.

BakuFlow: A Streamlining Semi-Automatic Label Generation Tool YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 14

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source=pdf_text observed=2026-08-07T05:11:47.018905Z digest=sha256:3a24ab84a0cd8600446baf8eb3ca52a12b5f0f20764c6b6f90f9ad0ea46d575d

Observation 64bde508-1e4a-436b-acb3-23fa6014ede9 · inbound

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft cites this paper.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 25

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source=pdf_text observed=2026-08-07T04:28:50.097635Z digest=sha256:c374011cd68a199e4035ddac75ed863968ca05545a9936e90adee5443e967072

Observation df90f30a-a0ee-4039-8fb2-1661ac865e70 · inbound

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection cites this paper.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 35

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source=pdf_text observed=2026-08-07T00:48:13.508169Z digest=sha256:606c50327d008ccc4f435e9d099bf37d8c80ba1c9fa823a7ce43103e3e4bd4de

Observation 8125d6c6-99d6-4def-9319-943379a6165e · inbound

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels cites this paper.

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 44

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source=pdf_text observed=2026-08-06T22:24:17.454219Z digest=sha256:1086235f8b0d83ae2fd3bdee8d53f405a470a737d80eeb48b7a41d2a6d81969e

Observation 09318e20-aa8c-4d4b-99a3-d9e43f4b97a4 · inbound

A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern cites this paper.

A Novel Tuning Method for Real-time Multiple-Object Tracking Utilizing Thermal Sensor with Complexity Motion Pattern YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

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source=pdf_text observed=2026-08-06T20:35:02.201353Z digest=sha256:4f085ecc9673d0e7cbcf2f18a473e4aba9959c6f603c4f9e5a8fc211c1a2a004

Observation f761d76c-1f5d-4854-b612-bbe5d10a6393 · inbound

Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association cites this paper.

Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 27

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source=pdf_text observed=2026-08-06T17:41:40.517820Z digest=sha256:df2de1c45a4341ea262dd69007ed37144844f28f0ebfced66f0a00d894d1a25b

Observation e12eb0ff-e939-4dd7-8dae-e02ba24697e6 · inbound

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments cites this paper.

OD-VIRAT: A Large-Scale Benchmark for Object Detection in Realistic Surveillance Environments YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 6

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no resolver link, observed 2026-08-06T16:49:30.833003Z

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source=pdf_text observed=2026-08-06T16:49:30.833003Z digest=sha256:e9dbf398f4ba492b8b8d82d5281d039de5b329287c28394ac1a92813b827a4db

Observation de5e2047-031c-48f6-bfef-36a310ec12d7 · inbound

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration cites this paper.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 112

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no resolver link, observed 2026-08-06T16:27:19.927167Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:19.927167Z digest=sha256:c10799ca572174ae762e71cef5c70842818b04f802d7fca2f0d0faf98d565bee

Observation 66de0a1a-b650-440b-af2c-5acdc7062e9e · inbound

Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.

Few-Shot Learning in Video and 3D Object Detection: A Survey YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 68

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no resolver link, observed 2026-08-06T15:00:44.579806Z

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source=pdf_text observed=2026-08-06T15:00:44.579806Z digest=sha256:95b3a3a11780c46f71197e699a8bede85fefa8dc8ef6a749f8b48399692fa1b9

Observation 1fbd0aca-e3d3-4a45-a9c7-a88e64cc72c6 · inbound

YOLOv1 to YOLOv11: A Comprehensive Survey of Real-Time Object Detection Innovations and Challenges cites this paper.

YOLOv1 to YOLOv11: A Comprehensive Survey of Real-Time Object Detection Innovations and Challenges YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 23

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no resolver link, observed 2026-08-06T05:15:42.553276Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:15:42.553276Z digest=sha256:8b53a989b07e83c3a5e41c0fb4750fcbd312c681b45c5f171fd1d24278be74d8

Observation 8474f066-d835-4619-9961-40c743564d43 · inbound

Multi-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection cites this paper.

Multi-Representation Adapter with Neural Architecture Search for Efficient Range-Doppler Radar Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

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no resolver link, observed 2026-08-05T12:46:29.964239Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:46:29.964239Z digest=sha256:44311b84b2fb007a9db14e0f3af99f16c9b9b6c9dcec38ef76309d41fd96fcb7

Observation 2d98043b-d177-4051-ba75-c01e8a8388b0 · inbound

Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes cites this paper.

Image Quality Enhancement and Detection of Small and Dense Objects in Industrial Recycling Processes YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 18

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no resolver link, observed 2026-08-05T12:42:33.512651Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:42:33.512651Z digest=sha256:5d4666dcae02d80a0114b69ae4c22154cef2dcfdf63ecc8d8a4ae190b117fece

Observation e599a1e4-7c42-4419-bd83-09c89239e2b3 · inbound

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.

All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 193

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verified exact
arxiv_id, observed 2026-05-18T03:00:47.995964Z

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=2026-05-18T02:59:09.920153Z digest=sha256:00ad47621c58b795b53610223ade385286c7c5d8d809c83b8c3d8db8c7d38f0b

Observation 3c05f28f-7c35-4ae4-91ae-7fb6b9cc79e8 · inbound

LiM-YOLO: Less is More with Pyramid Level Shift for Ship Detection in Optical Remote Sensing cites this paper.

LiM-YOLO: Less is More with Pyramid Level Shift for Ship Detection in Optical Remote Sensing YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 10

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no resolver link, observed 2026-08-03T17:28:18.801576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:28:18.801576Z digest=sha256:4c70f1ddd7289f9b5b429e77d1442cce8b6d70d3abe7b55264e869de487b22e2

Observation 782a03e2-5a6e-443f-ad5c-62e8ec67895a · inbound

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection cites this paper.

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 22

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no resolver link, observed 2026-08-03T13:44:07.754246Z

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source=pdf_text observed=2026-08-03T13:44:07.754246Z digest=sha256:b99486d4c5e00388c944c9e37259709aaadb388c5dc0a54e1ea59427e472defb

Observation 66a02764-8bfc-49ad-8d75-0c575809f1e7 · inbound

WUTDet: A 100K-Scale Ship Detection Dataset and Benchmarks with Dense Small Objects cites this paper.

WUTDet: A 100K-Scale Ship Detection Dataset and Benchmarks with Dense Small Objects YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 42

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verified exact
arxiv_id, observed 2026-05-11T05:20:59.717280Z

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=2026-05-10T18:11:54.801912Z digest=sha256:a4bc084cc8373fdc0eac9363b2c28ec042604e5b7565d7622964efe063f4ba3a

Observation 98211088-feaa-4727-b71e-ad14e109578e · inbound

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection cites this paper.

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 66

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verified exact
arxiv_id, observed 2026-05-10T12:15:22.139448Z

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=2026-05-10T12:10:53.363675Z digest=sha256:acd9ce3f2fa334c113f16d0ed863c4253553bdf311cdf098376bd9eac5449a34

Observation 723290b2-2dd1-4231-aeb3-352fa25482fc · inbound

Learning to count small and clustered objects with application to bacterial colonies cites this paper.

Learning to count small and clustered objects with application to bacterial colonies YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 48

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arxiv_id, observed 2026-05-11T13:16:19.970292Z

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=2026-05-10T02:01:47.384228Z digest=sha256:da4008d0bc7e11e91acf796c08c1018d204562014cf63a8e8c864d87289d8383

Observation 2aac625d-393e-49e1-ae81-f41549a4fb4f · inbound

Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark cites this paper.

Real-Time Frame- and Event-based Object Detection with Spiking Neural Networks on Edge Neuromorphic Hardware: Design, Deployment and Benchmark YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 65

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verified exact
arxiv_id, observed 2026-05-11T15:21:05.822355Z

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=2026-05-09T20:17:30.452778Z digest=sha256:9e7858dcf86e0cde34657e05e4abc906f4eb81b501c963e44d20962249c3c305

Observation 66ba0b15-af76-4738-8f2b-076d14982c45 · inbound

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey cites this paper.

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 180

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arxiv_id, observed 2026-05-11T04:30:55.589555Z

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=arxiv_source observed=2026-05-11T01:19:51.418374Z digest=sha256:e6611c00a77ae142fc17d11dcf69ad9f9d3554da4a4ee84bbe26dfa819f36abd

Observation 74f07768-04d8-4f0a-bf6c-15099e8605c2 · inbound

LongCat-Video-Avatar 1.5 Technical Report cites this paper.

LongCat-Video-Avatar 1.5 Technical Report YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

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arxiv_id, observed 2026-06-29T18:33:50.642374Z

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=2026-06-29T18:28:16.968339Z digest=sha256:a20a8e58e5972336d9a4102fbe8c95ecff877ad8be2d160f6a28ee509416ee9d

Observation a583a825-13b4-463a-9977-a199eb21974a · inbound

Small Object Detection in Industrial Recycling: A New Dataset and YOLO Performance Evaluation cites this paper.

Small Object Detection in Industrial Recycling: A New Dataset and YOLO Performance Evaluation YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 23

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verified exact
arxiv_id, observed 2026-06-29T18:13:48.881625Z

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=2026-06-29T18:07:54.633084Z digest=sha256:e1aab26cf1bd146088b4b27a060409e47fb264577d76c12ad74600d48aef2455

Observation 99b26c22-498f-4151-8115-2f8779ff1307 · inbound

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection cites this paper.

Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 65

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arxiv_id, observed 2026-07-02T03:06:30.206744Z

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=2026-06-28T10:19:16.668107Z digest=sha256:1ba304db9a402b68e5263d57f3471b00d68d38fe6603a8b5826913fc7585ee5b

Observation 0ce9d11d-8c21-4286-8790-e4240d250183 · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 3

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arxiv_id, observed 2026-07-02T20:47:23.233340Z

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=2026-06-27T20:07:49.478014Z digest=sha256:eccf9f7e8fc7cd4744235902e2ec9fbdd7ff0fa77d9765615c7cea353d603903

Observation cf8fe4f6-57f7-4d78-aa26-86f182e40ab2 · inbound

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline cites this paper.

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 24

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metadata mismatch
arxiv_id, observed 2026-07-02T20:57:23.259905Z

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=arxiv_source observed=2026-06-27T20:03:13.515338Z digest=sha256:727a9cfff675395f4019e6ca0d64890eb2f646c1e95a0c7cfb18ba53b62042b7

Observation 5b4a3964-d4b7-44b3-984d-05e395be81bc · inbound

Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection cites this paper.

Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 11

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arxiv_id, observed 2026-07-04T15:49:57.398059Z

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=2026-06-26T01:22:23.985714Z digest=sha256:4857615b6146082f18a5b0cf4329e61fc25639d7f792e75a65982085b19cd3ba

Observation 84f433b5-40fb-4dfb-9cba-d16646a0d1b7 · inbound

Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling cites this paper.

Hippocampus-DETR: An Explicit Memory Object Detection Framework Based on Hippocampus Modeling YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 10

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arxiv_id, observed 2026-06-29T19:13:53.455707Z

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=2026-06-29T04:47:16.684080Z digest=sha256:eec397eaeb235254dc46133baf9dee9e3747afd58cd69b1b708420d498c3d40e

Observation 2b00bf5b-0d3b-409d-b137-cd77950ab7c4 · inbound

An Intelligent-Cloud Edge Multimodal Interaction System for Robots cites this paper.

An Intelligent-Cloud Edge Multimodal Interaction System for Robots YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 5

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no resolver link, observed 2026-08-02T01:27:55.468740Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:27:55.468740Z digest=sha256:caf920cc2388807755061d4ffcab50ebd77cc10c0fcf57ec934333c0c98d5fcb

Observation 7d0d31c5-5f2c-4d96-8ceb-01140b2c4a26 · inbound

Attention from Above: A Multimodal Model for Drone-Based Object Localization cites this paper.

Attention from Above: A Multimodal Model for Drone-Based Object Localization YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 26

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no resolver link, observed 2026-08-01T17:23:56.004512Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:23:56.004512Z digest=sha256:b116f816362dc9d57115186c90212af9610ef402f3d0b2938bfa81107de75138

Observation b7e193ed-0199-48e6-a942-7d8b8ff4d1e3 · inbound

Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR cites this paper.

Gaze-DETR: Top-Down Guidance Through Priority Maps for Infrared Weak-Small UAV Detection with DETR YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 52

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no resolver link, observed 2026-08-01T13:41:19.377839Z

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source=pdf_text observed=2026-08-01T13:41:19.377839Z digest=sha256:3c0945e2c1e4837d11246aabc115d341017f7eedb2e7c1a08a3f47f3f4c9400f

Observation ab3dca9a-2c7f-495a-bb53-87687251101b · inbound

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 75

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no resolver link, observed 2026-08-04T10:56:16.859067Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:56:16.859067Z digest=sha256:6d386fbc733992abf06697adf787761d599f64db937ea685d0a69c635bc5ce24

Observation e77ac3f1-2513-4d86-992a-12e8f8ba8e23 · inbound

YOLOv14: Adaptive Real-Time Object Detection for Diverse Imaging Conditions cites this paper.

YOLOv14: Adaptive Real-Time Object Detection for Diverse Imaging Conditions YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Reference 7

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no resolver link, observed 2026-08-10T04:31:43.684387Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:31:43.684387Z digest=sha256:dc14e7870969becbd76fb5ce5adc6e989bcc8edc5106c52544fd254c83a7e16d