README.md

Object-Detection-papers

Notes with object detection papers.

1. You only look once: Unified, real-time object detection
2. YOLO9000: Better, Faster, Stronger
3. Yolov3: An incremental improvement
4. Yolov4: Optimal speed and accuracy of object detection
5. Rich feature hierarchies for accurate object detection and semantic segmentation
6. Spatial pyramid pooling in deep convolutional networks for visual recognition
7. Fast R-CNN
8. Faster r-cnn: Towards real-time object detection with region proposal networks
9. Cornernet: Detecting objects as paired keypoints
10. Centernet: Keypoint triplets for object detection
11. Objects as points
12. End-to-End Object Detection with Transformers

Application for mobile devices

1. GhostNet: More Features from Cheap Operations

Summary:

SEARCH

2D Object Detection OR Rotation Object Detection OR Keypoint Detection OR Segmentation OR Estimation OR Detection