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Test-time Adaptation in the Dynamic World with Compound Domain Knowledge
  Management

Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management

16 December 2022
Jun S. Song
Kwanyong Park
Inkyu Shin
Sanghyun Woo
Chaoning Zhang
In So Kweon
    TTA
ArXivPDFHTML

Papers citing "Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management"

15 / 15 papers shown
Title
EcoTTA: Memory-Efficient Continual Test-time Adaptation via
  Self-distilled Regularization
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
Jun S. Song
Jungsoo Lee
In So Kweon
Sungha Choi
TTA
64
90
0
03 Mar 2023
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
OOD
TTA
54
90
0
23 Nov 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
101
419
0
25 Mar 2022
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
48
155
0
03 Jul 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
302
700
0
19 Oct 2020
In Search of Lost Domain Generalization
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
76
1,137
0
02 Jul 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
88
479
0
30 Jun 2020
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
52
98
0
08 Nov 2019
Learning to Optimize Domain Specific Normalization for Domain
  Generalization
Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo
Yumin Suh
Dongwan Kim
Geeho Kim
Jongwoo Han
Bohyung Han
AI4CE
83
245
0
09 Jul 2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woonggi Chang
Tackgeun You
Seonguk Seo
Suha Kwak
Bohyung Han
OOD
64
385
0
27 May 2019
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
112
1,156
0
28 Nov 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
135
1,543
0
28 Feb 2018
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
323
7,478
0
02 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
989
11,587
0
06 Apr 2016
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
231
6,019
0
26 Sep 2014
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