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Gradient Alignment Improves Test-Time Adaptation for Medical Image
  Segmentation
v1v2 (latest)

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation

14 August 2024
Ziyang Chen
Yiwen Ye
Yongsheng Pan
Yong Xia
ArXiv (abs)PDFHTML

Papers citing "Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation"

10 / 10 papers shown
Title
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
Hyejin Park
Jeongyeon Hwang
Sunung Mun
Sangdon Park
Jungseul Ok
AAMLTTAOOD
77
6
0
28 Mar 2024
Sharpness-Aware Gradient Matching for Domain Generalization
Sharpness-Aware Gradient Matching for Domain Generalization
Pengfei Wang
Zhaoxiang Zhang
Zhen Lei
Lei Zhang
66
94
0
18 Mar 2023
Towards More Robust Interpretation via Local Gradient Alignment
Towards More Robust Interpretation via Local Gradient Alignment
Sunghwan Joo
Seokhyeon Jeong
Juyeon Heo
Adrian Weller
Taesup Moon
FAtt
72
6
0
29 Nov 2022
TeST: Test-time Self-Training under Distribution Shift
TeST: Test-time Self-Training under Distribution Shift
Samarth Sinha
Peter V. Gehler
Francesco Locatello
Bernt Schiele
TTAOOD
76
23
0
23 Sep 2022
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain
  Medical Images
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
Hongzheng Yang
Cheng Chen
Meirui Jiang
Quande Liu
Jianfeng Cao
Pheng Ann Heng
Qi Dou
OOD
76
28
0
27 May 2022
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Ning Xiao
Lei Zhang
45
145
0
22 Mar 2021
Evaluating Prediction-Time Batch Normalization for Robustness under
  Covariate Shift
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
Zachary Nado
Shreyas Padhy
D. Sculley
Alexander DÁmour
Balaji Lakshminarayanan
Jasper Snoek
OODAI4TS
92
248
0
19 Jun 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
152
763
0
27 Aug 2019
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
102
1,421
0
10 Oct 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
1