63 citations · 136 across the 7 of their papers we have counts for
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cs.CV2021★ 1 cited
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…
cs.CV2021★ 7 cited
Self Sparse Generative Adversarial Networks
Wenliang Qian, Yang Xu, Wangmeng Zuo +1
Generative Adversarial Networks (GANs) are an unsupervised generative model that learns data distribution through adversarial training. However, recent experiments indicated that G…
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…