562 citations · 2.4k across the 31 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 63 cited
Learning Modulated Loss for Rotated Object Detection
Wen Qian, Xue Yang, Silong Peng +2
Popular rotated detection methods usually use five parameters (coordinates of the central point, width, height, and rotation angle) to describe the rotated bounding box and l1-loss…
cs.CV2019★ 160 cited
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
Xue Yang, Junchi Yan, Ziming Feng +1
Rotation detection is a challenging task due to the difficulties of locating the multi-angle objects and separating them effectively from the background. Though considerable progre…
cs.CV2019★ 9 cited
Rethinking Classification and Localization for Cascade R-CNN
Ang Li, Xue Yang, Chongyang Zhang
We extend the state-of-the-art Cascade R-CNN with a simple feature sharing mechanism. Our approach focuses on the performance increases on high IoU but decreases on low IoU thresho…