DETA is a new model that improves upon Deformable DETR. Equipped with a Swin-large backbone and pre-trained on Object 365, it obtains an average precision (AP) of 63 on COCO.
DetaForObjectDetection has the same API as models like DETR, Deformable DETR and Conditional DETR, hence they can be fine-tuned in the same way.
This folder contains notebooks both for inference and fine-tuning on a custom dataset.