Summary: My Paper Reading Lists, Tutorials & Sharings

From Image Classification, Object Detection, Natural Language Processing (NLP), Self-Supervised Learning, Semi-Supervised Learning, Vision-Language, Generative Adversarial Network (GAN) to …

1. Computer Vision

1.1. Image Classification

1.2. Unsupervised/Self-Supervised Learning

1.3. Pretraining or Weakly/Semi-Supervised Learning

1.4. Object Detection

1.5. Semantic Segmentation / Scene Parsing / Instance Segmentation / Panoptic Segmentation

1.6. Face Recognition

1.7. Human Pose Estimation

1.8. Video Classification / Action Recognition

1.9. Weakly Supervised Object Localization (WSOL)

1.10. Visualization

2. Natural Language Processing (NLP)

2.1. Language Model / Sequence Model

2.2. Machine Translation

2.3. Summarization

3. Visual/Vision/Video-Language

3.1. Visual/Vision/Video Language Model (VLM)

3.2. Text-to-Image Generation

3.3. Image Captioning

3.4. Video Captioning

4. Medical Image Analysis

4.1. Biomedical Image Classification

4.2. Biomedical Image Segmentation

4.3. Biomedical Image Multi-Task Learning

4.4. Biomedical Image Self-Supervised Learning

4.5. Biomedical Image Semi-Supervised Learning

5. Image Generation Related

5.1. Generative Adversarial Network (GAN)

5.2. Image Generation

5.3. Style Transfer

6. Image Reconstruction Related

6.1. Single Image Super Resolution (SISR)

6.2. Image Restoration

6.3. Video Super Resolution (VSR)

6.4. Video Frame Interpolation / Extrapolation



PhD, Researcher. I share what I learn. :) Linktree: for Twitter, LinkedIn, etc.

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