109 citations · 288 across the 29 of their papers we have counts for
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cs.CV2021
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos
Nupur Thakur, Baoxin Li
Extensive research has demonstrated that deep neural networks (DNNs) are prone to adversarial attacks. Although various defense mechanisms have been proposed for image classificati…
cs.CV2021★ 1 cited
FedNS: Improving Federated Learning for collaborative image classification on mobile clients
Yaoxin Zhuo, Baoxin Li
Federated Learning (FL) is a paradigm that aims to support loosely connected clients in learning a global model collaboratively with the help of a centralized server. The most popu…
cs.CV2021
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation
Sandipan Choudhuri, Riti Paul, Arunabha Sen +2
The generalization power of deep-learning models is dependent on rich-labelled data. This supervision using large-scaled annotated information is restrictive in most real-world sce…