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NTU-DLCV-2022

This repo includes four homeworks for the course DLCV (Deep Learning for Computer Vision) in NTU (National Taiwan University).

Contents for Each Homework

HW1

  • Task 1: Image Classification [1]
  • Task 2: Image Segmentation

HW2

  • Task 1: GAN (Generative Adversarial Network) [2]
  • Task 2: Diffusion Model [3]
  • Task 3: Domain Adaptation [4]

HW3

  • Task 1: Zero-Shot Image Classification with CLIP (Connecting Text and Images)
  • Task 2: Image Captioning with VL (Vision and Language) Model.

HW4

  • Task 1: 3D Novel View Synthesis using NeRF (Neural Radiance Fields)
  • Task 2: Self-supervised pre-training for Image Classification

Some Useful References

Most of the following links come from the course ML (Machine Learning) given by Prof. Hung-Yi Lee in NTU (National Taiwan University).

[1]: NTU ML Spring 2021 HW3
[2]: NTU ML Spring 2021 HW6
[3]: NTU ML Spring 2023 HW6
[4]: NTU ML Spring 2021 HW11 (EN. Version)
NTU ML Spring 2021 HW11 (ZH. Version)

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