mlsanityData to 13 Oct 2026

Online PCB Defect Detector On A New PCB Defect Dataset

arXiv 1902.06197 ↗First posted 17 Feb 2019cs.CVcited by 25

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Abstract (arXiv)

Previous works for PCB defect detection based on image difference and image processing techniques have already achieved promising performance. However, they sometimes fall short because of the unaccounted defect patterns or over-sensitivity about some hyper-parameters. In this work, we design a deep model that accurately detects PCB defects from an input pair of a detect-free template and a defective tested image. A novel group pyramid pooling module is proposed to efficiently extract features of a large range of resolutions, which are merged by group to predict PCB defect of corresponding scales. To train the deep model, a dataset is established, namely DeepPCB, which contains 1,500 image pairs with annotations including positions of 6 common types of PCB defects. Experiment results validate the effectiveness and efficiency of the proposed model by achieving 98.6% mAP @ 62 FPS on DeepPCB dataset. This dataset is now available at: https://github.com/tangsanli5201/DeepPCB.

Key facts. Cited by 25 papers in the map (data through 13 Oct 2026). First posted on arXiv 17 Feb 2019.

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Citing papers per year: 2021: 2; 2022: 1; 2023: 2; 2024: 5; 2025: 6; 2026: 9.

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  1. 2023Deep Industrial Image Anomaly Detection: A Surveycited by 147
  2. 2024VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Taskscited by 136
  3. 2026MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptationcited by 6
  4. 2024A Comprehensive Survey on Machine Learning Driven Material Defect Detectioncited by 5
  5. 2024PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boardscited by 3
  6. 2021Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detectioncited by 2
  7. 2022FPIC: A Novel Semantic Dataset for Optical PCB Assurancecited by 2
  8. 2025ODverse33: Is the New YOLO Version Always Better? A Multi Domain benchmark from YOLO v5 to v11cited by 2
  9. 2025MRC-DETR: An Adaptive Multi-Residual Coupled Transformer for Bare Board PCB Defect Detectioncited by 2
  10. 2025ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categoriescited by 2
  11. 2024Enhancing Printed Circuit Board Defect Detection through Ensemble Learningcited by 1
  12. 2026UniPCB: A Unified Vision-Language Benchmark for Open-Ended PCB Quality Inspectioncited by 1
13 more
  1. 2021ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessmentcited by 0
  2. 2023Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancycited by 0
  3. 2024YOLO-pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Imagescited by 0
  4. 2025ESRPCB: an Edge guided Super-Resolution model and Ensemble learning for tiny Printed Circuit Board Defect detectioncited by 0
  5. 2025BoardVision: Deployment-ready and Robust Motherboard Defect Detection with YOLO+Faster-RCNN Ensemblecited by 0
  6. 2025Towards Pixel-Wise Anomaly Location for High-Resolution PCBA via Self-Supervised Image Reconstructioncited by 0
  7. 2026UniPCB: A Generation-Assisted Vision-Based Measurement Framework for PCB Defect Inspectioncited by 0
  8. 2026From Full Boards to Tiny Defects: Scale-Aware Tile Inference with Topology-Aware Merging for High-Resolution PCB Defect Detectioncited by 0
  9. 2026RefDiffNet: Learning to Expose Subtle PCB Defects Before Detectioncited by 0
  10. 2026DifferAD-R1: A Difference-Guided IndustrialAnomaly Localization with Multimodal LargeLanguage Modelscited by 0
  11. 2026MBA: Multimodal Benchmark and Agents for Real-World Business Ideationcited by 0
  12. 2026Beyond Exact Match: Task-Aware GRPO for Cross-Domain PCBA Visual Question Answeringcited by 0
  13. 2026PCB-MC: Missing Component Analysis in Printed Circuit Boardscited by 0