detrex v0.2.1 Release
Highlights
- DINO has been accepted to ICLR 2023!
- Thanks a lot for @powermano provides us a detailed usage about onnx export in detrex. Please see this issue #192
What's New
New Algorithm
- MaskDINO COCO instance-seg/panoptic-seg pre-release #154
New Features
- New baselines for
Res/Swin-DINO-5scale
,ViTDet-DINO
,FocalNet-DINO
, etc. #138, #155 - Support FocalNet backbone #145
- Support Swin-V2 backbone #152
Documentation
- Add ViTDet / FocalNet download links and usage example, please refer to Download Pretrained Weights.
- Add tutorial on how to verify the correct installation of detrex. #194
Bug Fixes
- Fix demo confidence filter not to remove mask predictions #156
Code Refinement
- Make more readable logging info for criterion and matcher #151
- Modified learning rate scheduler config usage, add fundamental scheduler configuration #191
New Pretrained Models
All the pretrained weights can be downloaded in detrex Model Zoo
DINO
Method | Pretrained | Epochs | Box AP |
---|---|---|---|
DINO-ViTDet-Base-4scale | MAE | 12 | 50.2 |
DINO-ViTDet-Base-4scale | MAE | 50 | 55.0 |
DINO-ViTDet-Large-4scale | MAE | 12 | 50.2 |
DINO-ViTDet-Large-4scale | MAE | 50 | 55.0 |
DINO-FocalNet-Large-3level-4scale | IN22k | 12 | 57.5 |
DINO-FocalNet-Large-4level-4scale | IN22k | 12 | 58.0 |
DINO-FocalNet-Large-4level-5scale | IN22k | 12 | 58.5 |