most citedClass Attention Transfer Based Knowledge Distillation

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

PAGE: Equilibrate Personalization and Generalization in Federated Learning

Qian Chen, Zilong Wang, Jiaqi Hu +3

Federated learning (FL) is becoming a major driving force behind machine learning as a service, where customers (clients) collaboratively benefit from shared local updates under th…

cs.CR20232 cited

RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks

Haonan Yan, Wenjing Zhang, Qian Chen +4

Model poisoning attacks greatly jeopardize the application of federated learning (FL). The effectiveness of existing defenses is susceptible to the latest model poisoning attacks,…

cs.CV20236 cited

Class Attention Transfer Based Knowledge Distillation

Ziyao Guo, Haonan Yan, Hui Li +1

Previous knowledge distillation methods have shown their impressive performance on model compression tasks, however, it is hard to explain how the knowledge they transferred helps…

cs.CV20211 cited

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model

Haonan Yan, Jiaqi Chen, Xujie Zhang +4

Recovering dense human poses from images plays a critical role in establishing an image-to-surface correspondence between RGB images and the 3D surface of the human body, serving t…

cs.CV20211 cited

WAS-VTON: Warping Architecture Search for Virtual Try-on Network

Zhenyu Xie, Xujie Zhang, Fuwei Zhao +4

Despite recent progress on image-based virtual try-on, current methods are constraint by shared warping networks and thus fail to synthesize natural try-on results when faced with…