most citedAttacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network

22 citations · 23 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 1 cited

Threshold-Consistent Margin Loss for Open-World Deep Metric Learning

Qin Zhang, Linghan Xu, Qingming Tang +4

Existing losses used in deep metric learning (DML) for image retrieval often lead to highly non-uniform intra-class and inter-class representation structures across test classes an…

cs.CV2018★ 22 cited

Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network

Qing Song, Yingqi Wu, Lu Yang

With the broad use of face recognition, its weakness gradually emerges that it is able to be attacked. So, it is important to study how face recognition networks are subject to att…