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Deep Learning for Computer Vision

Lecturer: Prof. Yu-Chiang Frank Wang
Course website: http://vllab.ee.ntu.edu.tw/dlcv.html

Repo. content

  1. Principal Component Analysis and k-Nearest Neighbors Classification [link]
  2. Kernel method; Color and texture segmentation; Recognition with bag of visual words [link]
  3. Semantic segmentation of satellite images [link]
  4. Image Generation and Feature Disentanglement [link]
  5. Recurrent neural networks (RNN) for action recognition [link]
  6. Face Recognition and model compression [link]

Experiment environment

  • OS: Ubuntu 16.04.3 LTS
  • Python 3
  • GPU: 1080 Ti (11G RAM)
  • CPU: Xeon(R) E5-2667 v4
  • RAM: 500 GB

Contact:

Feel free to contact me ([email protected]) if you have any problem.

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Deep Learning for Computer Vision (CommE 5052) in NTU

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