[HTML][HTML] A lightweight transfer learning model with pruned and distilled YOLOv5s to identify arc magnet surface defects

Q Huang, Y Zhou, T Yang, K Yang, L Cao, Y Xia - Applied Sciences, 2023 - mdpi.com
Surface defects in arc magnets constitute the main culprit for performance degradation and
safety hazards in permanent magnet motors. Machine-vision methods offer the possibility to …

A Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects.

Q Huang, Y Zhou, T Yang, K Yang… - … Sciences (2076-3417 …, 2023 - search.ebscohost.com
Surface defects in arc magnets constitute the main culprit for performance degradation and
safety hazards in permanent magnet motors. Machine-vision methods offer the possibility to …

A Lightweight Transfer Learning Model with Pruned and Distilled YOLOv5s to Identify Arc Magnet Surface Defects

Q Huang, Y Zhou, T Yang, K Yang, L Cao, Y Xia - Applied Sciences, 2023 - agris.fao.org
Surface defects in arc magnets constitute the main culprit for performance degradation and
safety hazards in permanent magnet motors. Machine-vision methods offer the possibility to …