DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images-Reference-Cited by-同舟云学术

DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images

Published:2022-12 Issue:12 Volume:41 Page:3575-3586
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Yang Hongzheng¹,Chen Cheng²^ORCID,Jiang Meirui²^ORCID,Liu Quande²^ORCID,Cao Jianfeng²,Heng Pheng Ann²^ORCID,Dou Qi²^ORCID

Affiliation:

1. Department of Artificial Intelligence, Beihang University, Beijing, China

2. Department of Computer Science and Engineering, Institute of Medical Intelligence and XR, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR

Funder

Hong Kong Innovation and Technology Fund

The Chinese University of Hong Kong Shun Hing Institute of Advanced Engineering

Shenzhen-Hong Kong Collaboration Development Zone

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9969446/09830762.pdf?arnumber=9830762

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5. Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training

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