9 citations · 16 across the 3 of their papers we have counts for
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cs.LG2018
Manifold Adversarial Learning
Shufei Zhang, Kaizhu Huang, Jianke Zhu +1
Recently proposed adversarial training methods show the robustness to both adversarial and original examples and achieve state-of-the-art results in supervised and semi-supervised…
cs.LG2017★ 9 cited
TripletGAN: Training Generative Model with Triplet Loss
Gongze Cao, Yezhou Yang, Jie Lei +3
As an effective way of metric learning, triplet loss has been widely used in many deep learning tasks, including face recognition and person-ReID, leading to many states of the art…