机器视觉-Yolov8增加注意力机制

在参考文献1中作者给出了多种注意力实现机制, 并指出了 ResCBAM 机制涨点效果最好, 给提供非常详尽的工程化说明.

代码示例:

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

万字长文解析cv中的注意力机制

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