ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer

arXiv:2303.04989v2 Announce Type: replace
Abstract: Existing oriented object detection methods commonly use metric AP$_{50}$ to measure the performance of the model. We argue that AP$_{50}$ is inherently unsuitable for oriented object detection due to its large tolerance in angle deviation. Therefore, we advocate using high-precision metric, e.g. AP$_{75}$, to measure the performance of models. In this paper, we propose an Aspect Ratio Sensitive Oriented Object Detector with Transformer, termed ARS-DETR, which exhibits a competitive performance in high-precision oriented object detection. …

abstract arxiv cs.ai cs.cv detection detection methods detr deviation object performance precision transformer type