Vision Transformers
CrossTransformers
Introduced by Doersch et al. in CrossTransformers: spatially-aware few-shot transferCrossTransformers is a Transformer-based neural network architecture which can take a small number of labeled images and an unlabeled query, find coarse spatial correspondence between the query and the labeled images, and then infer class membership by computing distances between spatially-corresponding features.
Source: CrossTransformers: spatially-aware few-shot transfer
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Classification | 1 | 11.11% |
| Few-Shot Learning | 1 | 11.11% |
| Meta-Learning | 1 | 11.11% |
| Object Recognition | 1 | 11.11% |
| Pose Estimation | 1 | 11.11% |
| Semantic Segmentation | 1 | 11.11% |
| Action Recognition | 1 | 11.11% |
| Few Shot Action Recognition | 1 | 11.11% |
| Self-Supervised Learning | 1 | 11.11% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
