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Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization

Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization

26 September 2023
Yongyi Su
Xun Xu
K. Jia
    TTA
ArXivPDFHTML

Papers citing "Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization"

21 / 21 papers shown
Title
Test-time Correlation Alignment
Test-time Correlation Alignment
Linjing You
Jiabao Lu
Xiayuan Huang
OOD
55
0
0
01 May 2025
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining
Qi Fan
Kaiqi Liu
Nian Liu
Hisham Cholakkal
Rao Muhammad Anwer
Wenbin Li
Yang Gao
59
0
0
30 Apr 2025
BoTTA: Benchmarking on-device Test Time Adaptation
BoTTA: Benchmarking on-device Test Time Adaptation
Michal Danilowski
Soumyajit Chatterjee
Abhirup Ghosh
TTA
61
0
0
14 Apr 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
Luyao Tang
Yuxuan Yuan
C. L. P. Chen
Zeyu Zhang
Yue Huang
Kun Zhang
45
0
0
24 Mar 2025
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation
Trung-Hieu Hoang
D. Vo
Minh N. Do
TTA
AAML
77
0
0
02 Dec 2024
Generalizing Segmentation Foundation Model Under Sim-to-real
  Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy
Yuxuan Wen
Evgenia Roussinova
Olivier Brina
Paolo Machi
Mohamed Bouri
OOD
MedIm
13
0
0
09 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su
Yushu Li
Nanqing Liu
Kui Jia
Xulei Yang
Chuan-Sheng Foo
Xun Xu
TTA
AAML
34
0
0
07 Oct 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at
  Test-Time through Purified Self-Training
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Jinpeng Lin
Xulei Yang
Tianrui Li
Xun Xu
3DPC
13
0
0
23 Sep 2024
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images
Nanqing Liu
Xun Xu
Yongyi Su
Haojie Zhang
Heng-Chao Li
VLM
14
14
0
20 Sep 2024
Bootstrap Segmentation Foundation Model under Distribution Shift via
  Object-Centric Learning
Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning
Luyao Tang
Yuxuan Yuan
C. L. P. Chen
Kunze Huang
Xinghao Ding
Yue Huang
VLM
17
1
0
29 Aug 2024
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Yu Liang
Shilei Cao
Juepeng Zheng
Jianxi Huang
H. Fu
Haohuan Fu
TTA
35
0
0
29 Aug 2024
Improving Out-of-Distribution Data Handling and Corruption Resistance
  via Modern Hopfield Networks
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks
Saleh Sargolzaei
Luis Rueda
OOD
AAML
21
0
0
21 Aug 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
14
0
0
29 Jul 2024
Parameter-Selective Continual Test-Time Adaptation
Parameter-Selective Continual Test-Time Adaptation
Jiaxu Tian
Fan Lyu
TTA
CLL
36
1
0
02 Jul 2024
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active
  Learning and Model Selection
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection
Yushu Li
Yongyi Su
Xulei Yang
Kui Jia
Xun Xu
TTA
18
0
0
29 May 2024
CLIP-Guided Source-Free Object Detection in Aerial Images
CLIP-Guided Source-Free Object Detection in Aerial Images
Nanqing Liu
Xun Xu
Yongyi Su
Chengxin Liu
Peiliang Gong
Heng-Chao Li
ObjD
18
1
0
10 Jan 2024
Improving the Generalization of Segmentation Foundation Model under
  Distribution Shift via Weakly Supervised Adaptation
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
Haojie Zhang
Yongyi Su
Xun Xu
Kui Jia
OOD
VLM
16
17
0
06 Dec 2023
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering Regularized Self-Training
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training
Yongyi Su
Xun Xu
Tianrui Li
K. Jia
OOD
TTA
16
7
0
20 Mar 2023
Benchmarking Robustness of 3D Point Cloud Recognition Against Common
  Corruptions
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
Jiachen Sun
Qingzhao Zhang
B. Kailkhura
Zhiding Yu
Chaowei Xiao
Z. Morley Mao
3DPC
31
83
0
28 Jan 2022
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
203
668
0
19 Oct 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
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