Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:58:08.483491Z
Paper Citation Record · LEDGER
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection
As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.03969.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
- verified exact0
- verified fuzzy42
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 10222a4b-ae74-4505-aee4-6560d4766213 · outbound
This paper cites Process manufacturing intelligence empowered by industrial JOURNAL OF LATEX CLASS FILES, VOL. 18, NO. 9, SEPTEMBER 2020 12 metaverse: A survey,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Process manufacturing intelligence empowered by industrial JOURNAL OF LATEX CLASS FILES, VOL. 18, NO. 9, SEPTEMBER 2020 12 metaverse: A survey,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.228566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e7c97810-2eeb-4848-9762-7d805adbd74c · outbound
This paper cites Moninet with concurrent analytics of temporal and spatial information for fault detection in industrial processes,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Moninet with concurrent analytics of temporal and spatial information for fault detection in industrial processes,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.213969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6b0d8874-5cd8-4357-b9cf-0234cba8ec62 · outbound
This paper cites Context-aware block net for small object detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Context-aware block net for small object detection,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.198479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5c3a3630-77f0-4179-b885-add1955840e3 · outbound
This paper cites Enhancing geometric factors in model learning and inference for object detection and instance segmentation,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Enhancing geometric factors in model learning and inference for object detection and instance segmentation,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.184161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a8f8e8da-a19c-4eae-a720-75dbce31dab9 · outbound
This paper cites Taanet: A task-aware attention network for weak surface defect detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Taanet: A task-aware attention network for weak surface defect detection,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.169283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ea516408-b24b-4064-9e09-5328d820de83 · outbound
This paper cites Clip-fsac: Boosting clip for few-shot anomaly classification with synthetic anomalies,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Clip-fsac: Boosting clip for few-shot anomaly classification with synthetic anomalies,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.154526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0c909ac2-1865-49f9-8d96-d58296188928 · outbound
This paper cites A reconstruction-based feature adaptation for anomaly detection with self-supervised multi-scale aggregation,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection A reconstruction-based feature adaptation for anomaly detection with self-supervised multi-scale aggregation,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.139832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1a9cdd1a-cfbf-4bd5-b7b9-a840d7d16331 · outbound
This paper cites Ultralytics YOLOv8,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Ultralytics YOLOv8,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:08.290722Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31db0ff7-10f1-4fda-939d-0fa00e84c367 · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Faster r-cnn: Towards real-time object detection with region proposal networks,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:08.295113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5251fbe8-0650-4dff-871d-c389d1dcef0d · outbound
This paper cites Detrs beat yolos on real-time object detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Detrs beat yolos on real-time object detection,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.106156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b8a72868-814f-45cc-93a4-f5c70dfc3cc1 · outbound
This paper cites Yolo-hmc: An improved method for pcb surface defect detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Yolo-hmc: An improved method for pcb surface defect detection,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.092451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2b00e5a7-81cd-446e-b105-702340bd7a78 · outbound
This paper cites Adin-detr: Adapting detection transformer for end-to-end real-time power line insulator defect detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Adin-detr: Adapting detection transformer for end-to-end real-time power line insulator defect detection,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.077776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b23ee4be-cb8a-45e5-9876-a345c077fc44 · outbound
This paper cites An optical lens defect detection method for micro vision based on wgso-yolo,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection An optical lens defect detection method for micro vision based on wgso-yolo,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.064133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6bdeeef8-621e-4942-9be1-f577690306be · outbound
This paper cites Carafe: Content-aware reassembly of features,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Carafe: Content-aware reassembly of features,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.050127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a76c5ad7-8a47-47bc-bdf5-75055fc4e6d9 · outbound
This paper cites An efficient anchor-free defect detector with dynamic receptive field and task alignment,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection An efficient anchor-free defect detector with dynamic receptive field and task alignment,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.036215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f4d43317-c9f7-410e-9f2b-c4a134364e95 · outbound
This paper cites Mci-gla plug-in suitable for yolo series models for transmission line insulator defect detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Mci-gla plug-in suitable for yolo series models for transmission line insulator defect detection,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.022094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cffdafd7-4550-4f65-9011-23569840506e · outbound
This paper cites Hripcb: a challenging dataset for pcb defects detection and classification,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Hripcb: a challenging dataset for pcb defects detection and classification,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:09.008049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 366a8413-a541-4f91-b7ea-56d29db002a5 · outbound
This paper cites An end-to-end steel surface defect detection approach via fusing multiple hierarchical features,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection An end-to-end steel surface defect detection approach via fusing multiple hierarchical features,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.993500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 69eb90f3-df36-4ab4-99d2-05fd7a4e5185 · outbound
This paper cites Multilevel fine- grained features-based general framework for object detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Multilevel fine- grained features-based general framework for object detection,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.979338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8d25f3e6-5c2f-4efe-9291-27fe8b99db73 · outbound
This paper cites Joining spatial deformable convolution and a dense feature pyramid for surface defect detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Joining spatial deformable convolution and a dense feature pyramid for surface defect detection,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.964640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1ee1eedb-f42c-4b5e-beec-89da35e5561f · outbound
This paper cites Pcb-yolo: An improved detection algorithm of pcb surface defects based on yolov5,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Pcb-yolo: An improved detection algorithm of pcb surface defects based on yolov5,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.950413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fa5fd27f-2330-4e21-9483-7b9fafb8d0e2 · outbound
This paper cites Canet: Contextual information and spatial attention based network for detecting small defects in manufacturing industry,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Canet: Contextual information and spatial attention based network for detecting small defects in manufacturing industry,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.937298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 55411ebb-f25a-4c9b-a7d7-2c0e93c47635 · outbound
This paper cites Hypergraph neural networks,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Hypergraph neural networks,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.923160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a82559c6-b65e-4007-8727-265c8d87c384 · outbound
This paper cites HGNN+: General hypergraph neural networks,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection HGNN+: General hypergraph neural networks,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.909113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85cbef8e-cd58-4359-8972-6387355ef5d5 · outbound
This paper cites Lbsn2vec++: Het- erogeneous hypergraph embedding for location-based social networks,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Lbsn2vec++: Het- erogeneous hypergraph embedding for location-based social networks,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.895053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cc6722a1-feb4-4f86-bec3-ef31647d439f · outbound
This paper cites Hypergraph factorization for multi-tissue gene expression imputation,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Hypergraph factorization for multi-tissue gene expression imputation,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.881271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a11b531f-a8f0-4483-8ef7-44049403d103 · outbound
This paper cites Multi-hypergraph learning- based brain functional connectivity analysis in fmri data,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Multi-hypergraph learning- based brain functional connectivity analysis in fmri data,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.867386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 25b8ed64-2b5e-41b6-8574-3ba790f233d6 · outbound
This paper cites Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:08.380060Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9e8bb8b-5d21-4fa9-8bd0-70210928de26 · outbound
This paper cites You only look once: Unified, real-time object detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection You only look once: Unified, real-time object detection,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.852895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9de2864c-eacb-4121-82e4-d4def8d99796 · outbound
This paper cites Yolo9000: Better, faster, stronger,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Yolo9000: Better, faster, stronger,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.838590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 16f037a8-b133-4fb0-9eab-49fbc7d9c40b · outbound
This paper cites YOLOX: Exceeding YOLO Series in 2021.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection YOLOX: Exceeding YOLO Series in 2021
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:08.393436Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e88a906-3e45-4ea5-82dd-89e11ceb337a · outbound
This paper cites YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:08.398049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05f2d923-6aad-4fb1-9eca-af4f6ff4772d · outbound
This paper cites Repvgg: Making vgg-style convnets great again,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Repvgg: Making vgg-style convnets great again,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.825070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 38cf8490-bceb-4218-b70e-0bf00d83d993 · outbound
This paper cites Tood: Task- aligned one-stage object detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Tood: Task- aligned one-stage object detection,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.810386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 35b70f23-ed36-475f-a15d-d2e8f36c8ba2 · outbound
This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:08.411574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99fcf800-20f7-40e1-b8db-a6980dcd417b · outbound
This paper cites YOLOv10: Real-Time End-to-End Object Detection.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection YOLOv10: Real-Time End-to-End Object Detection
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:08.416576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 306bf583-b17d-4a75-9b6a-de849ece3e94 · outbound
This paper cites Ultralytics YOLOv11,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Ultralytics YOLOv11,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.796377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eb7d51ff-5f87-4361-abf8-1008ebeaf48e · outbound
This paper cites Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.780974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 928dd12b-b885-481b-b7dd-2a4979990ed7 · outbound
This paper cites YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:08.430773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ceaba4c-eea2-4bac-a346-273e0fd2f0f1 · outbound
This paper cites Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.766510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c129f9f3-7e11-4021-acbb-d29b8a0f2198 · outbound
This paper cites Automatic detection and counting system for pavement cracks based on pcgan and yolo-mf,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Automatic detection and counting system for pavement cracks based on pcgan and yolo-mf,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.751766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85a46d5b-456c-49b1-9a68-73aba9fe198a · outbound
This paper cites Es-net: Efficient scale- aware network for tiny defect detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Es-net: Efficient scale- aware network for tiny defect detection,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.736657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9212e5d4-404b-4024-a613-e79a49190e7f · outbound
This paper cites Deformable yolox: Detection and rust warning method of transmission line connection fittings based on image processing technology,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Deformable yolox: Detection and rust warning method of transmission line connection fittings based on image processing technology,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.721998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 14bb40ec-85fc-46d3-b11d-d54915c498d9 · outbound
This paper cites An anchor-free defect detector for complex background based on pixelwise adaptive multiscale feature fusion,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection An anchor-free defect detector for complex background based on pixelwise adaptive multiscale feature fusion,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.706684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7d2f288f-7963-455f-9fd2-ee76964fff18 · outbound
This paper cites Attention network for rail surface defect detection via consistency of intersection-over-union(iou)- guided center-point estimation,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Attention network for rail surface defect detection via consistency of intersection-over-union(iou)- guided center-point estimation,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.691341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f2d61f8b-80c0-40f4-bff0-4200681d6eae · outbound
This paper cites Visual fault detection of multiscale key components in freight trains,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Visual fault detection of multiscale key components in freight trains,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.674359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b700bf9c-50b1-41e1-b759-c57565cc3fca · outbound
This paper cites Cascade r-cnn: High quality object detection and instance segmentation,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Cascade r-cnn: High quality object detection and instance segmentation,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.659063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e2bc3acb-2122-455d-b06c-9f36afb8004c · outbound
This paper cites Libra r-cnn: Towards balanced learning for object detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Libra r-cnn: Towards balanced learning for object detection,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.643914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0bae6114-ba1d-423f-9051-607a434f3da6 · outbound
This paper cites Focal loss for dense object detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Focal loss for dense object detection,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.628859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1afbb31b-929e-40fb-a454-2760f19b1d17 · outbound
This paper cites Fcos: Fully convolutional one- stage object detection,.
HyperDefect-YOLO: Enhance YOLO with HyperGraph Computation for Industrial Defect Detection Fcos: Fully convolutional one- stage object detection,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T21:58:08.612730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.