11 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 11 cited
FedProc: Prototypical Contrastive Federated Learning on Non-IID data
Xutong Mu, Yulong Shen, Ke Cheng +4
Federated learning allows multiple clients to collaborate to train high-performance deep learning models while keeping the training data locally. However, when the local data of al…
cs.CV2021★ 1 cited
Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones
Kelvin Cheng, Christopher Healey, Tianfu Wu
Stereo matching has recently witnessed remarkable progress using Deep Neural Networks (DNNs). But, how robust are they? Although it has been well-known that DNNs often suffer from…
cs.CV2019
Patch Transformer for Multi-tagging Whole Slide Histopathology Images
Weijian Li, Viet-Duy Nguyen, Haofu Liao +3
Automated whole slide image (WSI) tagging has become a growing demand due to the increasing volume and diversity of WSIs collected nowadays in histopathology. Various methods have…