Attention Modules
Cross-Attention Module
Introduced by Chen et al. in CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image ClassificationThe Cross-Attention module is an attention module used in CrossViT for fusion of multi-scale features. The CLS token of the large branch (circle) serves as a query token to interact with the patch tokens from the small branch through attention. $f\left(·\right)$ and $g\left(·\right)$ are projections to align dimensions. The small branch follows the same procedure but swaps CLS and patch tokens from another branch.
Source: CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Decoder | 20 | 5.73% |
| Semantic Segmentation | 19 | 5.44% |
| Object | 11 | 3.15% |
| Image Segmentation | 9 | 2.58% |
| Image Generation | 9 | 2.58% |
| Retrieval | 9 | 2.58% |
| Image Classification | 8 | 2.29% |
| Object Detection | 8 | 2.29% |
| Medical Image Segmentation | 7 | 2.01% |
Concatenated Skip Connection
Softmax
