CV 导论
#CV 导论 5
  1. Overview
  2. Classic Vision I - 图片、卷积和 Canny Edge Detection
  3. Classic Vision II - OLS、RANSAC 和 Harris Corner Detection
  4. Deep Learning I - Machine Learning 101, SGD Optimization
  5. Deep Learning II - MLP 和 CNN
  6. Deep Learning III - Preprocess, Initialization, Optimizer, Learning Rate
  7. Deep Learning IV - Batch Norm, ResNet, 过拟合的 tricks 和多分类问题
  8. Deep Learning V - VGG, ResNet, UNet
  9. 3D Vision I - 3D Data, Camera Model, Calibration
  10. 3D Vision II - 3D Representations, Point Cloud Sampling, PointNet
  11. 3D Vision III & Sequential Data I - PointNet, 3D Conv, RNN
  12. Sequential Data II - RNN, LSTM, Naive Attention
  13. Task - Object Detection & Instance Segmentation
CV 导论
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作者
酱紫瑞
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#CV 导论