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The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by
  Normalization
v1v2 (latest)

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

1 December 2021
M. Jehanzeb Mirza
Jakub Micorek
Horst Possegger
Horst Bischof
ArXiv (abs)PDFHTML

Papers citing "The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization"

32 / 32 papers shown
Title
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
Yujin Kim
H. Kim
Hyunwoo J.Kim
S. Kim
19
0
0
18 Jun 2025
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models
E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models
Jiaheng Dong
Hong Jia
Soumyajit Chatterjee
Abhirup Ghosh
James Bailey
Ting Dang
TTAVLM
24
0
0
08 Jun 2025
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
Qinting Jiang
Chuyang Ye
Dongyan Wei
B. Wang
Yuan Xue
Jingyan Jiang
Zhi Wang
OOD
21
0
0
07 Jun 2025
Frequency Composition for Compressed and Domain-Adaptive Neural Networks
Frequency Composition for Compressed and Domain-Adaptive Neural Networks
Yoojin Kwon
Hongjun Suh
Wooseok Lee
Taesik Gong
Songyi Han
Hyung-Sin Kim
56
0
0
27 May 2025
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning
Rakibul Hasan Rajib
Md Akil Raihan Iftee
Mir Sazzat Hossain
A. K. M. Mahbubur Rahman
Sajib Mistry
M Ashraful Amin
Amin Ahsan Ali
FedMLTTA
104
0
0
19 May 2025
AoP-SAM: Automation of Prompts for Efficient Segmentation
AoP-SAM: Automation of Prompts for Efficient Segmentation
Yi Chen
Mu-Young Son
Chuanbo Hua
Joo-Young Kim
VLM
94
0
0
17 May 2025
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
Kejie Zhao
Wenjia Hua
Aiersi Tuerhong
Luziwei Leng
Yuxin Ma
Qinghua Guo
544
0
0
08 May 2025
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation
Johannes Spoecklberger
W. Lin
Pedro Hermosilla
Sivan Doveh
Horst Possegger
M. Jehanzeb Mirza
86
0
0
19 Apr 2025
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
Hongyu Sun
Qiuhong Ke
Ming Cheng
Yanjie Wang
Deying Li
Chenhui Gou
Jianfei Cai
3DPC
141
0
0
15 Mar 2025
Bayesian Test-Time Adaptation for Vision-Language Models
Bayesian Test-Time Adaptation for Vision-Language Models
Lihua Zhou
Mao Ye
Shuaifeng Li
Nianxin Li
Xiatian Zhu
Lei Deng
Hongbin Liu
Zhen Lei
BDLVLMTTA
193
1
0
12 Mar 2025
Billet Number Recognition Based on Test-Time Adaptation
Billet Number Recognition Based on Test-Time Adaptation
Yuan Wei
Xiuzhuang Zhou
172
0
0
13 Feb 2025
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
100
2
0
08 Jan 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging
Ali Bahri
Moslem Yazdanpanah
Mehrdad Noori
Sahar Dastani Oghani
Milad Cheraghalikhani
David Osowiech
Farzad Beizaee
G. A. V. Hakim
Ismail ben Ayed
Christian Desrosiers
3DPCTTA
143
1
0
31 Dec 2024
Improving Accuracy and Generalization for Efficient Visual Tracking
Improving Accuracy and Generalization for Efficient Visual Tracking
Ram J. Zaveri
Shivang Patel
Yu Gu
Gianfranco Doretto
VLM
161
0
0
28 Nov 2024
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation
Shambhavi Mishra
Julio Silva-Rodrıguez
Ismail ben Ayed
M. Pedersoli
Jose Dolz
VLM
163
1
0
26 Nov 2024
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic
  Test-Time Adaptation
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation
Chaoqun Du
Yulin Wang
Jiayi Guo
Yizeng Han
Jie Zhou
Gao Huang
TTA
80
0
0
29 Jul 2024
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
Zhuoxiao Chen
Junjie Meng
Mahsa Baktashmotlagh
Yonggang Zhang
Zi Huang
Yadan Luo
237
2
0
21 Jun 2024
A Bayesian Approach to OOD Robustness in Image Classification
A Bayesian Approach to OOD Robustness in Image Classification
Prakhar Kaushik
Adam Kortylewski
Alan Yuille
75
2
0
12 Mar 2024
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
Mattia Segu
Bernt Schiele
Fisher Yu
TTA
107
13
0
03 Oct 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution
  Detection in Segmentation
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Zhitong Gao
Shipeng Yan
Xuming He
OODOODD
93
12
0
12 Sep 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity
  Weighting, and Prior Correction
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction
Robert A. Marsden
Mario Döbler
Bin Yang
TTA
90
38
0
01 Jun 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra
Hani Itani
Alejandro Pardo
Shyma Alhuwaider
Merey Ramazanova
Juan C. Pérez
Zhipeng Cai
Matthias Müller
Guohao Li
TTA
97
4
0
10 Apr 2023
$Δ$-Patching: A Framework for Rapid Adaptation of Pre-trained
  Convolutional Networks without Base Performance Loss
ΔΔΔ-Patching: A Framework for Rapid Adaptation of Pre-trained Convolutional Networks without Base Performance Loss
Chaitanya Devaguptapu
Samarth Sinha
K. J. Joseph
V. Balasubramanian
Animesh Garg
116
1
0
26 Mar 2023
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight
  Learning for Cross-User Wearable Human Activity Recognition
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition
Rong Hu
Ling Chen
Shenghuan Miao
Xing Tang
96
30
0
25 Nov 2022
Video Test-Time Adaptation for Action Recognition
Video Test-Time Adaptation for Action Recognition
Wei Lin
M. Jehanzeb Mirza
Mateusz Koziñski
Horst Possegger
Hilde Kuehne
Horst Bischof
TTA
105
32
0
24 Nov 2022
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Mario Döbler
Robert A. Marsden
Bin Yang
OODTTA
76
90
0
23 Nov 2022
ActMAD: Activation Matching to Align Distributions for
  Test-Time-Training
ActMAD: Activation Matching to Align Distributions for Test-Time-Training
M. Jehanzeb Mirza
Pol Jané Soneira
W. Lin
Mateusz Koziñski
Horst Possegger
Horst Bischof
VLMTTA
103
29
0
23 Nov 2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
MATE: Masked Autoencoders are Online 3D Test-Time Learners
M. Jehanzeb Mirza
Inkyu Shin
Wei Lin
Andreas Schriebl
Kunyang Sun
...
Horst Possegger
Mateusz Koziñski
In So Kweon
Kun-Jin Yoon
Horst Bischof
TTA3DPC
105
16
0
21 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
92
15
0
17 Nov 2022
DIRA: Dynamic Domain Incremental Regularised Adaptation
DIRA: Dynamic Domain Incremental Regularised Adaptation
Abanoub Ghobrial
Xu Zheng
Darryl Hond
Hamid Asgari
Kerstin Eder
AI4CE
103
1
0
30 Apr 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Yuliang Zou
Zizhao Zhang
Chun-Liang Li
Han Zhang
Tomas Pfister
Jia-Bin Huang
TTAOOD
104
14
0
30 Mar 2022
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
309
4,688
0
17 Feb 2017
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