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Distilling Knowledge by Mimicking Features
Guo-Hua Wang, Yifan Ge, Jianxin Wu
Knowledge distillation (KD) is a popular method to train efficient networks ("student") with the help of high-capacity networks ("teacher"). Traditional methods use the teacher's s…
ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification
Fu Xiong, Yang Xiao, Zhiguo Cao +3
Face verification can be regarded as a 2-class fine-grained visual recognition problem. Enhancing the feature's discriminative power is one of the key problems to improve its perfo…
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
Bin-Bin Gao, Xin-Xin Liu, Hong-Yu Zhou +2
Facial attributes (\eg, age and attractiveness) estimation performance has been greatly improved by using convolutional neural networks. However, existing methods have an inconsist…
Rethinking the Route Towards Weakly Supervised Object Localization
Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
Weakly supervised object localization (WSOL) aims to localize objects with only image-level labels. Previous methods often try to utilize feature maps and classification weights to…