Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence Xue Y ang 1, Xiaojiang Y ang 1, Jirui Y ang 2, Qi Ming

Neural Information Processing Systems 

As a fundamental building block for visual analysis across aerial images, scene text etc., rotated object detection has recently been developed rapidly [