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Enhanced Online Test-time Adaptation with Feature-Weight Cosine
  Alignment

Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment

12 May 2024
Weiqin Chuah
Ruwan Tennakoon
A. Bab-Hadiashar
ArXivPDFHTML

Papers citing "Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment"

11 / 11 papers shown
Title
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
VLM
TTA
91
29
0
23 Nov 2022
Robustifying Vision Transformer without Retraining from Scratch by
  Test-Time Class-Conditional Feature Alignment
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Takeshi Kojima
Yutaka Matsuo
Yusuke Iwasawa
75
28
0
28 Jun 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
Sanghun Jung
Jungsoo Lee
Nanhee Kim
Amirreza Shaban
Byron Boots
Jaegul Choo
OOD
TTA
53
17
0
01 Jun 2022
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose
  Estimation across Domain Gap
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap
T. Park
Simone DÁmico
60
66
0
08 Mar 2022
Test time Adaptation through Perturbation Robustness
Test time Adaptation through Perturbation Robustness
Prabhu Teja Sivaprasad
Franccois Fleuret
TTA
OOD
49
33
0
19 Oct 2021
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
95
1,241
0
20 Feb 2020
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
170
3,431
0
28 Mar 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
97
1,421
0
10 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
141
2,041
0
22 Jun 2017
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
161
3,271
0
05 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,022
0
26 Sep 2014
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