J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft | Paper Citation Record

Observation cc4e6739-59d3-4a86-ab46-99df4dff64b0 · outbound

This paper cites Aircraft visual inspection: A systematic literature review,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Aircraft visual inspection: A systematic literature review,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:01.559280Z

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Observation 6fddde72-b5ea-4188-bf24-224830c5e097 · outbound

This paper cites Preliminary design of an unmanned aircraft system for aircraft general visual inspection,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Preliminary design of an unmanned aircraft system for aircraft general visual inspection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:01.298396Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebcd974f-d864-4390-a273-05f421fa7c41 · outbound

This paper cites Human factors in maintenance: a review,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Human factors in maintenance: a review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:01.063338Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b0a59bf-7721-4571-8423-25427e41d712 · outbound

This paper cites Tensor voting guided mesh denoising,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Tensor voting guided mesh denoising,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:00.896846Z

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Observation bcddf8b5-645f-46de-8e83-d81cffb97c5d · outbound

This paper cites Multiscale feature line extraction from raw point clouds based on local surface variation and anisotropic contraction,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Multiscale feature line extraction from raw point clouds based on local surface variation and anisotropic contraction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:00.712525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 470bed5e-eec5-4be8-adc2-0c31a0d16e5f · outbound

This paper cites City3d: Large-scale build- ing reconstruction from airborne lidar point clouds,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft City3d: Large-scale build- ing reconstruction from airborne lidar point clouds,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:00.433155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1bbe6290-ffe4-4643-8a02-cb332265d006 · outbound

This paper cites A uav-based aircraft surface defect inspection system via external constraints and deep learning,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A uav-based aircraft surface defect inspection system via external constraints and deep learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:47.813815Z

Source-reported events for the cited work

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Observation 70f4e89f-43df-4674-8d76-622dea359f9a · outbound

This paper cites Aircraft skin damage detection and assessment from uav images using glcm and cloud model,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Aircraft skin damage detection and assessment from uav images using glcm and cloud model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:00.214516Z

Source-reported events for the cited work

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Observation 14210456-f89f-4f92-8333-e8baedbe905e · outbound

This paper cites A semi-supervised aircraft fuselage defect detection network with dynamic attention and class-aware adaptive pseudo-label assignment,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A semi-supervised aircraft fuselage defect detection network with dynamic attention and class-aware adaptive pseudo-label assignment,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:59.943848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47a11def-52ac-404b-adbf-6103680ab23e · outbound

This paper cites Ultralytics YOLO,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Ultralytics YOLO,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:48.192141Z

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Observation 1b0f82fe-a2cb-493a-9571-8fe9bba1d728 · outbound

This paper cites Applications of nde reliability to systems,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Applications of nde reliability to systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:59.702472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c69566db-19e1-4d42-8d64-5344912b8c2a · outbound

This paper cites Reliability assessment at airline in- spection facilities. volume iii: Results of an eddy current inspection reliability experiment,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Reliability assessment at airline in- spection facilities. volume iii: Results of an eddy current inspection reliability experiment,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:59.454725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9f8e5ec-45ef-4f0b-bb90-4e3d00769bf6 · outbound

This paper cites Murgatroyd, G.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Murgatroyd, G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:59.204604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 844307d8-fec7-41d6-93a1-8e06949b80b9 · outbound

This paper cites A review of human error in aviation maintenance and inspection,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A review of human error in aviation maintenance and inspection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:59.005420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf1f9dd2-f6d4-4be0-8db7-9f696937ce94 · outbound

This paper cites A mobile climbing robot for high precision manufacture and inspection of aerostructures,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A mobile climbing robot for high precision manufacture and inspection of aerostructures,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:58.743070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9cfbd615-5295-4507-9908-d38142f29194 · outbound

This paper cites Design of a climbing robot for inspecting aircraft wings and fuselage,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Design of a climbing robot for inspecting aircraft wings and fuselage,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:58.459738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 092763ea-496a-43f5-913a-1cf7c6641512 · outbound

This paper cites Collaborative robot for visually inspecting an aircraft,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Collaborative robot for visually inspecting an aircraft,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:58.207339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 798b9dd9-d69d-4333-b2db-4e9bfb42ef9a · outbound

This paper cites A navigational framework combining visual servoing and spiral obstacle avoidance techniques,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft A navigational framework combining visual servoing and spiral obstacle avoidance techniques,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:57.952580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2bd0810-597a-4da1-9c48-a7da380f03d7 · outbound

This paper cites Moving obsta- cles detection and camera pointing for mobile robot applications,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Moving obsta- cles detection and camera pointing for mobile robot applications,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:57.703243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 03076fcb-fc01-4ca1-b0e4-4dbf164aa34c · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:49.480126Z

Source-reported events for the cited work

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Observation 6b0ee51f-cdd2-4190-8ec8-426a4aac384f · outbound

This paper cites Fast r-cnn,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Fast r-cnn,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:49.573704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7182bc57-6968-4c2e-b980-dcb3a7405b4c · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:49.703726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37e11baa-c5bb-4b19-a5dc-99d660b04252 · outbound

This paper cites You only look once: Unified, real-time object detection,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft You only look once: Unified, real-time object detection,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:49.837832Z

Source-reported events for the cited work

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Observation 6675dff8-fccc-4fe7-a665-0957fa668158 · outbound

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

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:49.972815Z

Source-reported events for the cited work

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

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

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

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:50.097635Z

Source-reported events for the cited work

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Observation adba0c25-026c-4215-84a0-dabdc9379bce · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:50.256517Z

Source-reported events for the cited work

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Observation cf458439-5bc1-437a-9a07-1dec31d3438c · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:50.364072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b43f366d-f7f2-443b-b1e3-30e7b34edf08 · outbound

This paper cites Yolo- world: Real-time open-vocabulary object detection,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Yolo- world: Real-time open-vocabulary object detection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:57.444444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 86d3ccf7-53eb-467e-8ea0-70ac08bc5ec1 · outbound

This paper cites Cf-yolo: Cross fusion yolo for object detection in adverse weather with a high-quality real snow dataset,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Cf-yolo: Cross fusion yolo for object detection in adverse weather with a high-quality real snow dataset,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:57.217754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ea369df-c364-44ae-89bc-074b559fc78f · outbound

This paper cites Id-yolo: Real-time salient object detection based on the driver’s fixa- tion region,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Id-yolo: Real-time salient object detection based on the driver’s fixa- tion region,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:57.007922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ad4a3c4-1a00-491f-a446-d517bd388f2b · outbound

This paper cites Yolov7-rdd: A lightweight efficient pavement distress detection model,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Yolov7-rdd: A lightweight efficient pavement distress detection model,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:56.764551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 37f3f922-327c-4a21-a312-74605c821567 · outbound

This paper cites Ssd: Single shot multibox detector,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Ssd: Single shot multibox detector,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:50.984254Z

Source-reported events for the cited work

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Observation 50eca34b-0700-4883-91d8-20691631e5d5 · outbound

This paper cites End-to-end object detection with transformers,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft End-to-end object detection with transformers,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:51.115849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec181988-be47-4a22-a180-b5aecbe7a478 · outbound

This paper cites Contextual object detection with multimodal large language models,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Contextual object detection with multimodal large language models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:56.549443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 606e33a4-0ad8-4275-b373-1aa7b0242f21 · outbound

This paper cites TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:28:53.737635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 24341878-f4e1-4ce3-ae21-2067898cc07b · outbound

This paper cites Deep learning-based crack damage detection using convolutional neural networks,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Deep learning-based crack damage detection using convolutional neural networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:56.384874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9906a87-991d-4d9b-97a0-6a5b9b9fddd2 · outbound

This paper cites Structural damage detection with automatic feature-extraction through deep learning,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Structural damage detection with automatic feature-extraction through deep learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:56.092740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f95f1efe-26e8-4806-b1f8-5bff9079f1a0 · outbound

This paper cites Structural building damage detection with deep learning: Assessment of a state-of-the-art cnn in operational conditions,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Structural building damage detection with deep learning: Assessment of a state-of-the-art cnn in operational conditions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:55.836038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 173cd5e7-2226-4e31-82e5-9d876facad04 · outbound

This paper cites Skip connection yolo architecture for noise barrier defect detection using uav-based images in high-speed railway,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Skip connection yolo architecture for noise barrier defect detection using uav-based images in high-speed railway,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:55.613955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c49e648f-3844-4928-8eb6-2df3a5941aef · outbound

This paper cites Run, don’t walk: chasing higher flops for faster neural networks,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Run, don’t walk: chasing higher flops for faster neural networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:55.449309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f728196-7159-40e2-9062-93931f25bcae · outbound

This paper cites Efficient multi-scale attention module with cross-spatial learning,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Efficient multi-scale attention module with cross-spatial learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:55.319671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b41e0ad-6e37-43c7-9845-d28fb25d5a27 · outbound

This paper cites Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:28:53.538459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b69321cd-ed7b-4a20-9f5f-aef4d56c7a59 · outbound

This paper cites Advanced auto labeling solution with added features,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Advanced auto labeling solution with added features,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:55.184140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7030124a-bea9-47fe-b4e9-eec7e4d6a0b4 · outbound

This paper cites Focal Loss for Dense Object Detection.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Focal Loss for Dense Object Detection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:52.537579Z

Source-reported events for the cited work

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Observation 563131d0-04c4-4c9d-becb-0b7d52cd0c5c · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:28:52.700960Z

Source-reported events for the cited work

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Observation 0c90b7e5-7c1c-4eb6-82f4-5764f6bd99dc · outbound

This paper cites Lightweight rail surface defect detection algorithm based on an im- proved yolov8,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Lightweight rail surface defect detection algorithm based on an im- proved yolov8,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:54.907303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f463a348-4d0f-4c96-acf9-3077f623ad9f · outbound

This paper cites Lf-yolo: A lighter and faster yolo for weld defect detection of x-ray image,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Lf-yolo: A lighter and faster yolo for weld defect detection of x-ray image,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:54.634330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b86a99bf-a739-4df4-a996-8cd2b698bf36 · outbound

This paper cites Mcnet: Multiple context information segmentation network of no-service rail surface de- fects,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Mcnet: Multiple context information segmentation network of no-service rail surface de- fects,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:54.424427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bea42910-6acc-40fc-b5c1-1a3af7abfac4 · outbound

This paper cites Dynamically weighted balanced loss: class imbalanced learning and confidence calibration of deep neural networks,.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft Dynamically weighted balanced loss: class imbalanced learning and confidence calibration of deep neural networks,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:54.164948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2900d89-3e5c-416b-8953-fb820eae5484 · outbound

This paper cites His research focuses on Digital Modeling and Intelligent Equipment Design.

J-DDL: Surface Damage Detection and Localization System for Fighter Aircraft His research focuses on Digital Modeling and Intelligent Equipment Design

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:28:53.951957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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