Oriented Object Detection Based On Composite Trigonometric Function Coder

With the rapid advancements in object detection, oriented object detection has gained increasing attention. However, challenges such as boundary discontinuity and square-like problems in oriented object detection persist, as most existing methods directly regress the rotation angle, leading to instability in boundary angle prediction. To address these challenges, this paper introduces a novel rotation angle encoding method called the Composite Trigonometric Function Coder (CTFC), which transforms discrete angles into continuous curves. Leveraging the smooth characteristics of trigonometric functions, CTFC eliminates abrupt curvature changes, thereby avoiding the sudden angle steps inherent in conventional methods and simplifying the optimization process. Experiments conducted on three datasets validate the effectiveness of the proposed method. Additionally, the performance of CTFC has been further analyzed using three different detector heads. Experimental results and data analysis demonstrate that CTFC is efficient and effective in oriented object detection.