Precise Orientation Estimation for Rotated Object Detection Based on a Unit Vector Coding Approach

doi:10.3390/electronics13224402

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/126938

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题名:	Precise Orientation Estimation for Rotated Object Detection Based on a Unit Vector Coding Approach
作者:	Tsai, Chi-yi;Lin, Wei-chuan
关键词:	rotated object detection;orientation angle prediction;angle parameterization;cosine distance;loss function
日期:	2024-11-10
上传时间:	2025-03-20 09:31:51 (UTC+8)
出版者:	MDPI
摘要:	Existing rotated object detection methods usually use angular parameters to represent the object orientation. However, due to the symmetry and periodicity of these angular parameters, a well-known boundary discontinuity problem often results. More specifically, when the object orientation angle approaches the periodic boundary, the predicted angle may change rapidly and adversely affect model training. To address this problem, this paper introduces a new method that can effectively solve the boundary discontinuity problem related to angle parameters in rotated object detection. Our approach involves a novel vector-based encoding and decoding technique for angular parameters, and a cosine distance loss function for angular accuracy evaluation. By utilizing the characteristics of unit vectors and cosine similarity functions, our method parameterizes the orientation angle as components of the unit vector during the encoding process and redefines the orientation angle prediction task as a vector prediction problem, effectively avoiding the boundary discontinuity problem. The proposed method achieved a mean average precision (mAP) of 87.48% and an average cosine similarity (CS) of 0.997 on the MVTec test set. It also achieved an mAP score of 90.54% on the HRSC2016 test set, which is better than several existing state-of-the-art methods and proves its accuracy and effectiveness.
關聯:	Electronics 13(22),　4402
DOI:	10.3390/electronics13224402
显示于类别:	[電機工程學系暨研究所] 期刊論文

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