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NTU-DLCV-Fall-2023

NTU Deep Learning for Computer Vision 深度學習於電腦視覺

Lecturer: Frank Wang 王鈺強老師

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Outline

Please refer to the introduction file and homework report to understand our implementation details.

  • HW1

    • Image classification
    • Self-Supervised pretraining for image classification
    • Image segmentation

  • HW2

    • Diffusion models
    • DDIM
    • Domain Adversarial Network

  • HW3

    • Zero-Shot image classification with CLIP
    • PEFT on Vision and Language Model for Image Captioning
    • Visualization of Attention in Image Captioning

  • HW4

    • 3D novel view synthesis

  • Final Project -- Challenge 2

    • Visual Queries 2D Localization Task (Ego4D Challenge)

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