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

• URL: http://arxiv.org/abs/2211.06368v1
• Date: Fri, 11 Nov 2022 17:31:25 GMT
• Title: Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
• Authors: Yi Yu and Feipeng Da
• Abstract summary: A novel differentiable angle coder named phase-shifting coder (PSC) is proposed to accurately predict the orientation of objects. We provide a unified framework for various periodic fuzzy problems in oriented object detection. Visual analysis and experiments on three datasets prove the effectiveness and the potentiality of our approach.
• Score: 10.99534239215483
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 https://github.com/open-mmlab/mmrotate.

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