目标检测(OBJ)#
Num |
Title |
Field |
Desc |
Author |
Time |
read |
---|---|---|---|---|---|---|
1 |
Rich feature hierarchies for accurate object detection and semantic segmentation |
目标检测 |
R-CNN |
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2 |
Fast R-CNN |
目标检测 |
Fast R-CNN |
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3 |
Faster R-CNN:Towards Real-Time Object |
目标检测 |
Faster R-CNN |
|||
4 |
Mask R-CNN |
目标检测 |
Mask R-CNN |
|||
5 |
SSD:Single Shot MultiBox Detector |
目标检测 |
SSD |
|||
6 |
Feature Pyramid Networks for Object Detection |
目标分割 |
FPN |
|||
7 |
Focal Loss for Dense Object Detection |
目标分割 |
RetinaNet |
|||
8 |
Bag of Freebies for Training Object Detection Neural Networks |
目标分割 |
||||
9 |
You Only Look One-Unified, Real-Time Object Detection |
目标分割 |
YOLOv1 |
|||
10 |
YOLO9000:Better, Faster, Stronger |
目标分割 |
YOLOv2 |
|||
11 |
YOLOv3:An Incremental Improvement |
目标分割 |
YOLOv3 |
|||
12 |
YOLOv4:Optimal Speed and Accuracy of Object Detection |
目标分割 |
YOLOv4 |
|||
13 |
PP-YOLO:An Effective and Efficient Implementation of Object Detector |
目标分割 |
PP-YOLO |
|||
14 |
PP-YOLOv2:A Practical Object Detector |
目标分割 |
PP-YOLO2 |
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