Course Study with CSC321
[2021.03.20]
Topic : Lecture 13: Object Detection, R-CNN & SPPNET (Hayden)
Notes :
Links :
- https://woosikyang.github.io/fast-rcnn.html
- https://nuggy875.tistory.com/21
- https://ganghee-lee.tistory.com/35
- https://blog.naver.com/PostView.nhn?blogId=isu112600&logNo=221583808984
- https://woosikyang.github.io/fast-rcnn.html
Next : 2021.03.27 9:00 PM KST
- Object Detection : R-CNN & SPPNET details (Chanju, James)
- https://blog.naver.com/laonple/220731472214 ( (GooLeNet [6])
Will Cover
- R-CNN : Background
- Computer Vision , selective search , SIFT , HOG , DPM
- R-CNN : Architecture
- 3-modules
- R-CNN : How to test ? (detect , forward)
- NMS
- R-CNN : How to evaluate?
- mAP , different metrics
- R-CNN : How to train?
- different IOU threshold
- Bbox regressor understanding
- R-CNN : Limits
