Infrared Fault Detection Method for Dense Electrolytic Bath Polar Plate Based on YOLOv5s
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Abstract
Electrolysis tanks are used to smelt metals based on electrochemical principles, and the short-circuiting of the pole plates in the tanks in the production process will lead to high temperatures, thus affecting normal product... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Industrial Vision Systems and Defect Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (40)
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1. Aerial infrared target tracking in severe jamming using skeletal tracking technology10.1016/j.infrared.2020.103545 ↗
2. The intelligent vehicle target recognition algorithm based on target infrared features combined with lidar10.1016/j.comcom.2020.03.013 ↗
3. Intelligent fire monitor for fire robot based on infrared image feedback control10.1007/s10694-020-00964-4 ↗
4. Review on recent development in infrared small target detection algorithms10.1016/j.procs.2020.03.302 ↗
5. Infrared machine vision and infrared thermography with deep learning: A review10.1016/j.infrared.2021.103754 ↗
6. Infrared ship-target recognition based on SVM classification
7. Sparse R-CNN: End-to-end object detection with learnable proposals
8. You only look once: Unified, Real-time object detection
9. YOLO9000: Better, faster, stronger
10. J. Redmon and A. Farhadi, “YOLOv3: An incremental improvement,” 2018, arXiv:1804.02767.
11. Scaled-YOLOv4: Scaling cross stage partial network
12. CSPNet: A new backbone that can enhance learning capability of CNN
13. Spatial pyramid pooling in deep convolutional networks for visual recognition10.1109/TPAMI.2015.2389824 ↗
14. C. Li et al., “YOLOv6: A single-stage object detection framework for industrial applications,” Sep. 07, 2022, arXiv:2209.02976.
15. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
16. Infrared dim small target detection networks: A review10.3390/s24123885 ↗
17. Seam tracking technology for hyperbaric underwater welding10.3901/CJME.2009.02.265 ↗
18. Improved YOLOv3 target detection based on boundary limit point features
19. Generalized intersection over union: A metric and a loss for bounding box
20. Distance-IoU loss: Faster and better learning for bounding box regression
21. Enhancing geometric factors in model learning and inference for object detection and instance segmentation10.1109/TCYB.2021.3095305 ↗
22. Focal loss for dense object detectin
23. Zhao · Advances in Machinery, Materials Science and Engineering Application IX · 2023 · 687
24. YOLO-SASE: An improved YOLO algorithm for the small targets detection in complex backgrounds10.3390/s22124600 ↗
25. Receptive field block net for accurate and fast object detection
26. Photo-realistic single image super-resolution using a generative adversarial network
27. ESRGAN: Enhanced super-resolution generative adversarial networks
28. Billet number recognition based on ESRGAN and improved YOLOv5
29. Koonce · Convolutional Neural Networks with Swift for Tensorflow · 2021 · 12510.1007/978-1-4842-6168-2_11 ↗
30. Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data
31. Very deep convolutional networks for large-scale image recognition
32. U-Net: Convolutional networks for biomedical image segmentation
33. DCS-YOLOv8: An improved steel surface defect detection algorithm based on YOLOv8
34. Deformable convolutional networks
35. Concurrent spatial and channel ‘squeeze & excitation’ in fully convolutional networks
36. A lightweight algorithm capable of accurately identifying forest fires from UAV remote sensing imagery10.3389/ffgc.2023.1134942 ↗
37. GhostNet: More features from cheap operations
38. Marine ship detection and classification based on YOLOv5 model10.1088/1742-6596/2181/1/012025 ↗
39. DDH-YOLOv5: Improved YOLOv5 based on double IoU-aware decoupled head for object detection10.1007/s11554-022-01241-z ↗
40. Remote sensing image objects detection algorithm based on improved YOLOv5