371 citations · 478 across the 5 of their papers we have counts for
5 papers
Rethinking Boundary Discontinuity Problem for Oriented Object Detection
Hang Xu, Xinyuan Liu, Haonan Xu +4
Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the p…
Unbiased IoU for Spherical Image Object Detection
Qiang Zhao, Bin Chen, Hang Xu +5
As one of the most fundamental and challenging problems in computer vision, object detection tries to locate object instances and find their categories in natural images. The most…
Dense Scale Network for Crowd Counting
Feng Dai, Hao Liu, Yike Ma +3
Crowd counting has been widely studied by computer vision community in recent years. Due to the large scale variation, it remains to be a challenging task. Previous methods adopt e…
APE-GAN: Adversarial Perturbation Elimination with GAN
Shiwei Shen, Guoqing Jin, Ke Gao +1
Although neural networks could achieve state-of-the-art performance while recongnizing images, they often suffer a tremendous defeat from adversarial examples--inputs generated by…
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing
Hantao Yao, Feng Dai, Dongming Zhang +4
Most traditional algorithms for compressive sensing image reconstruction suffer from the intensive computation. Recently, deep learning-based reconstruction algorithms have been re…