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Test time Adaptation through Perturbation Robustness

Test time Adaptation through Perturbation Robustness

19 October 2021
Prabhu Teja Sivaprasad
Franccois Fleuret
    TTA
    OOD
ArXivPDFHTML

Papers citing "Test time Adaptation through Perturbation Robustness"

25 / 25 papers shown
Title
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation
Zixuan Hu
Yichun Hu
Ling-yu Duan
TTA
54
0
0
07 May 2025
Improving Batch Normalization with TTA for Robust Object Detection in
  Self-Driving
Improving Batch Normalization with TTA for Robust Object Detection in Self-Driving
Dacheng Liao
Mengshi Qi
Liang Liu
Huadong Ma
67
0
0
28 Nov 2024
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech
  Recognition
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition
Eunseop Yoon
Hee Suk Yoon
John Harvill
M. Hasegawa-Johnson
Chang D. Yoo
TTA
VLM
31
0
0
11 Aug 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature
  Adaptation
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Jiachen Liang
Ruibing Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
19
4
0
31 May 2024
Fully Test-Time Adaptation for Monocular 3D Object Detection
Fully Test-Time Adaptation for Monocular 3D Object Detection
Hongbin Lin
Yifan Zhang
Shuaicheng Niu
Shuguang Cui
Zhen Li
55
2
0
30 May 2024
Enhanced Online Test-time Adaptation with Feature-Weight Cosine
  Alignment
Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment
Weiqin Chuah
Ruwan Tennakoon
A. Bab-Hadiashar
23
1
0
12 May 2024
Test-Time Model Adaptation with Only Forward Passes
Test-Time Model Adaptation with Only Forward Passes
Shuaicheng Niu
Chunyan Miao
Guohao Chen
Pengcheng Wu
Peilin Zhao
TTA
38
18
0
02 Apr 2024
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via
  Uncertainty-aware Logit Switching
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching
Shohei Enomoto
Naoya Hasegawa
Kazuki Adachi
Taku Sasaki
Shinýa Yamaguchi
Satoshi Suzuki
Takeharu Eda
OOD
UQCV
34
1
0
26 Mar 2024
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting
Mingkui Tan
Guohao Chen
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
Peilin Zhao
Shuaicheng Niu
TTA
OOD
31
4
0
18 Mar 2024
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided
  Classifiers
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers
Kangda Wei
Sayan Ghosh
Rakesh R Menon
Shashank Srivastava
27
2
0
13 Nov 2023
In Search of Lost Online Test-time Adaptation: A Survey
In Search of Lost Online Test-time Adaptation: A Survey
Zixin Wang
Yadan Luo
Liang Zheng
Zhuoxiao Chen
Sen Wang
Zi Huang
32
15
0
31 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
16
3
0
17 Oct 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved
  Single-Sample Test-Time Adaptation
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
Skyler Seto
B. Theobald
Federico Danieli
Navdeep Jaitly
Dan Busbridge
TTA
OOD
39
6
0
07 Sep 2023
DomainAdaptor: A Novel Approach to Test-time Adaptation
DomainAdaptor: A Novel Approach to Test-time Adaptation
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
TTA
8
16
0
20 Aug 2023
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for
  Robust 3D Medical Image Segmentation
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
Jingjie Guo
Weitong Zhang
Matthew Sinclair
Daniel Rueckert
C. L. P. Chen
OOD
19
2
0
02 Jul 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
29
202
0
27 Mar 2023
Robust Weight Signatures: Gaining Robustness as Easy as Patching
  Weights?
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?
Ruisi Cai
Zhenyu (Allen) Zhang
Zhangyang Wang
AAML
OOD
24
12
0
24 Feb 2023
Towards Understanding GD with Hard and Conjugate Pseudo-labels for
  Test-Time Adaptation
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
Jun-Kun Wang
Andre Wibisono
29
7
0
18 Oct 2022
Test-Time Adaptation via Conjugate Pseudo-labels
Test-Time Adaptation via Conjugate Pseudo-labels
Sachin Goyal
Mingjie Sun
Aditi Raghunathan
Zico Kolter
OOD
20
95
0
20 Jul 2022
Efficient Test-Time Model Adaptation without Forgetting
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OOD
VLM
TTA
28
307
0
06 Apr 2022
Listen, Adapt, Better WER: Source-free Single-utterance Test-time
  Adaptation for Automatic Speech Recognition
Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition
Guan-Ting Lin
Shang-Wen Li
Hung-yi Lee
TTA
VLM
13
9
0
27 Mar 2022
MEMO: Test Time Robustness via Adaptation and Augmentation
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang
Sergey Levine
Chelsea Finn
OOD
TTA
23
299
0
18 Oct 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
222
676
0
19 Oct 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,888
0
15 Sep 2016
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