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Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection

2022-11-11 17:31:25
Yi Yu, Feipeng Da

Abstract

With the vigorous development of computer vision, oriented object detection has gradually been featured. In this paper, a novel differentiable angle coder named phase-shifting coder (PSC) is proposed to accurately predict the orientation of objects, along with a dual-frequency version PSCD. By mapping rotational periodicity of different cycles into phase of different frequencies, we provide a unified framework for various periodic fuzzy problems in oriented object detection. Upon such framework, common problems in oriented object detection such as boundary discontinuity and square-like problems are elegantly solved in a unified form. Visual analysis and experiments on three datasets prove the effectiveness and the potentiality of our approach. When facing scenarios requiring high-quality bounding boxes, the proposed methods are expected to give a competitive performance. The codes are publicly available at this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2211.06368

PDF

https://arxiv.org/pdf/2211.06368.pdf


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