부스트캠프 AI Tech 1기 [T1209 최보미]/U stage

Day31 학습정리 - CV1

B1001101 2021. 3. 8. 23:58

강의복습

1. Image classification 1

더보기

1) Course overview

2) Image classification

  •  k Nearest Neighbors(k-NN)
  • Convolutional Neural Netwoks(CNN)

3) CNN architectures for image classification 1

  • AlexNet
  • VGGNet
  • GoogLeNet
  • ResNet
  • DenseNet, SENet, EfficientNet

2. Annotation data efficient learning

더보기

1) Data augmentation

  • Brightness adjustment
  • Rotate, flip
  • Crop
  • Affine transformation
  • CutMix 

2) Leveraging pre-trained information

  • Transfer Learning: 데이터셋이 적을 때 효과적
  • Knowledge distillation: Passing what model learned to another smaller model(Teacher-student learning)

3) Leveraging unlabeled dataset for training

  • Semi-supervised learning
  • Self-training

코멘트

오늘 강의 내용은 3주차에 배웠던 내용을 조금 더 자세하게 다루는 느낌이었다.