Skip to content

Commit a026903

Browse files
committed
添加【计算机视觉】目标检测面试指南之YOLOV4
1 parent 5aa28b5 commit a026903

File tree

1 file changed

+12
-2
lines changed

1 file changed

+12
-2
lines changed

docs/计算机视觉.md

Lines changed: 12 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -1160,7 +1160,7 @@ NMS_demo.py:<https://github.com/humengdoudou/object_detection_mAP/blob/master/
11601160

11611161
- [SSD 论文原文完整翻译](https://zhuanlan.zhihu.com/p/65484308)
11621162

1163-
## YOLO系列(V1-V3
1163+
## YOLO系列(V1-V5
11641164

11651165
### YOLOV1
11661166

@@ -1174,7 +1174,15 @@ NMS_demo.py:<https://github.com/humengdoudou/object_detection_mAP/blob/master/
11741174

11751175
- [ ] TODO
11761176

1177-
### YOLOv1 YOLOv2 YOLOv3的发展
1177+
### YOLOv4算法
1178+
1179+
**参考资料**
1180+
1181+
- [目标检测面试指南之YOLOV4](https://zhuanlan.zhihu.com/p/138824273)
1182+
1183+
### YOLOv5算法
1184+
1185+
### YOLOv1-YOLOv5的发展
11781186

11791187
- [ ] TODO
11801188

@@ -1186,6 +1194,8 @@ NMS_demo.py:<https://github.com/humengdoudou/object_detection_mAP/blob/master/
11861194

11871195
- [YOLOv1,YOLOv2,YOLOv3解读](<https://blog.csdn.net/hancoder/article/details/87994678>)
11881196

1197+
###
1198+
11891199
## RetinaNet(Focal loss)
11901200

11911201
《Focal Loss for Dense Object Detection》

0 commit comments

Comments
 (0)