7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2018★ 7 cited
Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors
Hao Yu, Zhaoning Zhang, Zheng Qin +4
Modern object detectors usually suffer from low accuracy issues, as foregrounds always drown in tons of backgrounds and become hard examples during training. Compared with those pr…
cs.CV2018★ 3 cited
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Zheng Qin, Zhaoning Zhang, Shiqing Zhang +2
Compact neural networks are inclined to exploit "sparsely-connected" convolutions such as depthwise convolution and group convolution for employment in mobile applications. Compare…
cs.CV2017
S-OHEM: Stratified Online Hard Example Mining for Object Detection
Minne Li, Zhaoning Zhang, Hao Yu +2
One of the major challenges in object detection is to propose detectors with highly accurate localization of objects. The online sampling of high-loss region proposals (hard exampl…