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A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

27 March 2023
Jian Liang
Ran He
Tien-Ping Tan
    OOD
    VLM
    TTA
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Papers citing "A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts"

23 / 73 papers shown
Title
Active Source Free Domain Adaptation
Active Source Free Domain Adaptation
Fan Wang
Zhongyi Han
Zhiyan Zhang
Yilong Yin
149
11
0
22 May 2022
Test-time Batch Normalization
Test-time Batch Normalization
Tao Yang
Shenglong Zhou
Yuwang Wang
Yan Lu
Nanning Zheng
OOD
57
9
0
20 May 2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
Alexander Bartler
Florian Bender
Felix Wiewel
B. Yang
TTA
40
9
0
18 May 2022
Test-Time Adaptation with Shape Moments for Image Segmentation
Test-Time Adaptation with Shape Moments for Image Segmentation
M. Bateson
H. Lombaert
Ismail Ben Ayed
OOD
48
20
0
16 May 2022
Test-time Fourier Style Calibration for Domain Generalization
Test-time Fourier Style Calibration for Domain Generalization
Xingchen Zhao
Chang Liu
Anthony Sicilia
Seong Jae Hwang
Yunong Fu
TTA
OOD
40
35
0
13 May 2022
Unsupervised Adaptation of Semantic Segmentation Models without Source
  Data
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
S. Paul
Ansh Khurana
Gaurav Aggarwal
OOD
123
7
0
04 Dec 2021
SITA: Single Image Test-time Adaptation
SITA: Single Image Test-time Adaptation
Ansh Khurana
S. Paul
Piyush Rai
Soma Biswas
Gaurav Aggarwal
69
52
0
04 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
311
7,457
0
11 Nov 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
153
212
0
07 Oct 2021
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain
  Adaptive 3D Object Detection
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
Deepti Hegde
Vishwanath A. Sindagi
Velat Kilic
A. Cooper
Mark A. Foster
Vishal M. Patel
3DPC
129
23
0
29 Sep 2021
Source-Free Domain Adaptation for Image Segmentation
Source-Free Domain Adaptation for Image Segmentation
M. Bateson
H. Kervadec
Jose Dolz
H. Lombaert
Ismail Ben Ayed
OOD
MedIm
129
65
0
06 Aug 2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without
  Source Data
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
Ning Ma
Jiajun Bu
Zhen Zhang
Sheng Zhou
TTA
24
14
0
14 Jul 2021
If your data distribution shifts, use self-learning
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
OOD
TTA
79
29
0
27 Apr 2021
Visualizing Adapted Knowledge in Domain Transfer
Visualizing Adapted Knowledge in Domain Transfer
Yunzhong Hou
Liang Zheng
119
54
0
20 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,858
0
18 Apr 2021
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
151
150
0
17 Feb 2021
Unsupervised Domain Adaptation of Black-Box Source Models
Unsupervised Domain Adaptation of Black-Box Source Models
Haojian Zhang
Yabin Zhang
Kui Jia
Lei Zhang
130
51
0
08 Jan 2021
Domain Adaptation for the Segmentation of Confidential Medical Images
Domain Adaptation for the Segmentation of Confidential Medical Images
Serban Stan
Mohammad Rostami
OOD
31
14
0
02 Jan 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
151
250
0
14 Dec 2020
Casting a BAIT for Offline and Online Source-free Domain Adaptation
Casting a BAIT for Offline and Online Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
91
45
0
23 Oct 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
Jian Liang
Yunbo Wang
Dapeng Hu
Ran He
Jiashi Feng
169
105
0
05 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
365
11,700
0
09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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