Course Study with CSC321

[2021.03.13]

Topic : Lecture 12.4: VGG , ResNet (Chloe,이동재)

Notes :

• https://drive.google.com/file/d/1HMu1LWBzk_FtQoB9m-0ti03_dMNYo3YG/view?usp=sharing

Links :

• https://blog.naver.com/laonple/220710707354 (VGG : Conv. Factorizing)
• https://brunch.co.kr/@kmbmjn95/37 (ResNet : how ‘residual’ idea came up)
• https://www.stand-firm-peter.me/2020/09/26/resnet/ (ResNet : 최강 자료1. 모든 설명 다 있음)
• https://www.stand-firm-peter.me/2020/09/30/resnet_2/ (ResNet : 최강 자료2. 모든 설명 다 있음)
• https://ratsgo.github.io/deep%20learning/2017/10/09/CNNs/ (ResNet : DenseNet 언급)

Next : 2021.03.20 9:00 PM KST

• Object Detection : R-CNN , SPPNET

• https://blog.naver.com/laonple/220731472214 (GooLeNet [6])

Will Cover

• Object Classification VS. Object Detection ?
  • Bounding Box , mAP , IOU
• What is R-CNN ?
  • SIFT , HOG
  • Selective search
• How Berkeley team applied R-CNN ?
  • PASCAL VOL
  • fine-tuning
• Limits of R-CNN & How SPPNet came up
  • dealing with fixed input size
  • how many crops/warps

• 순서 변경 : 이동재 - Chloe - Hayden - Chanju - Jaden

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