562 citations · 2.4k across the 31 of their papers we have counts for
5 papers · 1 filter
AlphaRotate: A Rotation Detection Benchmark using TensorFlow
Xue Yang, Yue Zhou, Junchi Yan
AlphaRotate is an open-source Tensorflow benchmark for performing scalable rotation detection on various datasets. It currently provides more than 18 popular rotation detection mod…
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng +2
We classify the discontinuity of loss in both five-param and eight-param rotated object detection methods as rotation sensitivity error (RSE) which will result in performance degen…
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang, Xiaojiang Yang, Jirui Yang +4
Existing rotated object detectors are mostly inherited from the horizontal detection paradigm, as the latter has evolved into a well-developed area. However, these detectors are di…
Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss
Qi Ming, Lingjuan Miao, Zhiqiang Zhou +2
Arbitrary-oriented objects exist widely in natural scenes, and thus the oriented object detection has received extensive attention in recent years. The mainstream rotation detector…
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, Qi Ming +3
Boundary discontinuity and its inconsistency to the final detection metric have been the bottleneck for rotating detection regression loss design. In this paper, we propose a novel…