Course Study with CSC321
[2021.03.27]
Topic : Lecture 13.2: Object Detection : R-CNN details (Chanju, James)
Notes :
Links :
- https://arxiv.org/pdf/1311.2524.pdf (original r-cnn thesis)
- https://wiserloner.tistory.com/1174 (r-cnn background, selective search details)
- https://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html#model-workflow (hard negative mining)
- https://nuggy875.tistory.com/21 (how to train each modules)
- https://dyndy.tistory.com/275 (NMS)
- https://pacientes.github.io/posts/2021/02/ml_ap_map/ (Confidence score)
- http://blog.naver.com/PostView.nhn?blogId=sogangori&logNo=221224276320 mAP
- https://eehoeskrap.tistory.com/183 (end-to-end)
Next : 2021.04.03 9:00 PM KST
- Object Detection : SPPNET , Fast-RCNN details (Chanju, James)
- https://blog.naver.com/laonple/220731472214 ( GooLeNet [6])
- https://blog.naver.com/laonple/220776743537 ( ResNet [4])
Will Cover
- SPP Net :
- Fast R-CNN :
Future models of object detection : SPPNet , Fast R-CNN , Faster R-CNN , YOLO v1
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