Awesome
Efficient Decoder-free Object Detection with Transformers
ECCV2022: Paper
This code is based on mmdetection
Results
| Backbone | box mAP | GFLOPs |
|---|---|---|
| $DFFT_{NANO}$ | 42.8 | 42 |
| $DFFT_{TINY}$ | 43.5 | 57 |
| $DFFT_{SMALL}$ | 44.5 | 62 |
| $DFFT_{MEDIUM}$ | 45.7 | 67 |
| $DFFT_{LARGE}$ | 46.0 | 101 |
Models
Runs
python3 setup.py develop && ./tools/dist_train.sh configs/dfft/dfft.py [num_gpus] \
--cfg-options model.pretrained=pretrained.pth