Computer-Vision Natural-Language-Processing Deep-Learning
| Week | Common Paper | CV Paper | NLP Paper | Code Review |
|---|---|---|---|---|
| 1 | Attention | Inception V2/3 | Seq2Seq | VGG (Architecture 구현, Line by Line 주석, 성능 도출) |
| 2 | U-Net | SPPNet | ELMo | VGG (Architecture 변경, 성능 도출) |
| 3 | Transformer | Transformer | Transformer | U-Net (Architecture 구현, Line by Line 주석, 성능 도출) |
| 4 | GPT-1 | MobileNet | BERT | U-Net (Architecture 변경, 성능 도출) |
| 5 | YOLO | Faster R-CNN | XLNet | U-Net (데이터셋 변경, 성능 도출) |
| 6 | VAE | EfficientNet | T5 | Transformer (Architecture 구현, Line by Line 주석) |
| 7 | BART | Mask R-CNN | ELECTRA | Transformer (데이터셋 적용, 성능 도출) |
| 8 | GAN | RetinaNet | GPT-3 | Transformer (Architecture 변경, 성능 도출) |