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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

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  1. Principal Component Analysis and k-Nearest Neighbors Classification. [HW0]
  2. Image Classification and Semantic segmentation. [HW1]
  3. Image Generation and Unsupervised Domain Adaptation (UDA) [HW2]
    • GAN
    • ACGAN
    • DANN
  4. Image Classification and Image Caption with Transformers. [HW3]
    • Vision Transformer (Vit)
    • CAption TRansformer (CATR)
  5. Few-shot learning and Self-Supervised Pre-training for Image Classification [HW4]
    • Prototypical Network
    • BYOL