Model description
D-FINE is a RT-DETR based model that uses probability distributions as an intermediate representation from which bounding boxes are predicted. This model has achieved SOTA results in real-time object detection with additional training data. https://paperswithcode.com/sota/real-time-object-detection-on-coco?p=d-fine-redefine-regression-task-in-detrs-as
Open source status
Provide useful links for the implementation
Here is the link to the repository: https://github.com/Peterande/D-FINE. The weights are present on Huggingface Hub. The only github username I know of is @Peterande.
Model description
D-FINE is a RT-DETR based model that uses probability distributions as an intermediate representation from which bounding boxes are predicted. This model has achieved SOTA results in real-time object detection with additional training data. https://paperswithcode.com/sota/real-time-object-detection-on-coco?p=d-fine-redefine-regression-task-in-detrs-as
Open source status
Provide useful links for the implementation
Here is the link to the repository: https://github.com/Peterande/D-FINE. The weights are present on Huggingface Hub. The only github username I know of is @Peterande.