30 citations · 46 across the 6 of their papers we have counts for
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cs.CV2018
Virtual Class Enhanced Discriminative Embedding Learning
Binghui Chen, Weihong Deng, Haifeng Shen
Recently, learning discriminative features to improve the recognition performances gradually becomes the primary goal of deep learning, and numerous remarkable works have emerged.…
cs.CV2018
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
Wanxin Tian, Zixuan Wang, Haifeng Shen +6
The performance of face detectors has been largely improved with the development of convolutional neural network. However, it remains challenging for face detectors to detect tiny,…
cs.CV2018
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
Binghui Chen, Weihong Deng
Deep embedding learning becomes more attractive for discriminative feature learning, but many methods still require hard-class mining, which is computationally complex and performa…