在參考文獻1中作者給出了多種注意力實現(xiàn)機制, 并指出了 ResCBAM 機制漲點效果最好, 給提供非常詳盡的工程化說明.

代碼示例:

https://github.com/ruiyangju/fracture_detection_improved_yolov8
https://github.com/iscyy/ultralyticsPro
https://github.com/mkang315/BGF-YOLO/tree/main
https://github.com/pythoncodeAshisH/yolov8-SE-attention/blob/main/yolov8x.yaml
https://github.com/iscyy/yoloair/blob/iscyy-beta/models/Models/Attention/SimAM.py
https://blog.csdn.net/qq_43471945/article/details/132685642
https://github.com/z1069614715/objectdetection_script/blob/master/cv-attention/ShuffleAttention.py
https://blog.csdn.net/CV_20231007/article/details/134050023

萬字長文解析cv中的注意力機制

https://mp.weixin.qq.com/s/kt3iIuOD3lsZBTIbOSGN0g