RHINO: Rotated DETR with Dynamic Denoising via Hungarian Matching for Oriented Object Detection. (arXiv:2305.07598v1 [cs.CV])

With the publication of DINO, a variant of the Detection Transformer (DETR),
Detection Transformers are breaking the record in the object detection
benchmark with the merits of their end-to-end design and scalability. However,
the extension of DETR to oriented object detection has not been thoroughly
studied although more benefits from its end-to-end architecture are expected
such as removing NMS and anchor-related costs. In this paper, we propose a
first strong DINO-based baseline for oriented object detection. We found that
straightforward …

arxiv benchmark breaking denoising design detection dynamic extension hungarian publication scalability transformer transformers