This is my implement of models from published papers
| Model | Paper's name | Link paper | Category |
|---|---|---|---|
| UNet | U-Net: Convolutional Networks for Biomedical Image Segmentation | Link | CNN |
| ResNet | Deep Residual Learning for Image Recognition | Link | CNN |
| Transformer | Attention is all you need | Link | LLM |
| VGG | Very Deep Convolutional Networks for Large-Scale Image Recognition | Link | CNN |
| MaskRCNN | Mask R-CNN | Link | CNN |
| ViT | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | Link | CNN + LLM |
| DETR | End-to-End Object Detection with Transformers | Link | CNN + LLM |
| SAM | Segment Anything | Link | CNN |