Test-Time Adaptation via Conjugate Pseudo-labels

20 July 2022

Papers citing "Test-Time Adaptation via Conjugate Pseudo-labels"

34 / 34 papers shown

Title
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 154 0 0 30 Apr 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 199 488 0 26 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts Sameer Ambekar Zehao Xiao Xiantong Zhen Cees G. M. Snoek OOD 130 0 0 15 Feb 2025
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 430 0 0 20 Nov 2024
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection Zhuoxiao Chen Junjie Meng Mahsa Baktashmotlagh Yonggang Zhang Zi Huang Yadan Luo 154 1 0 21 Jun 2024
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu Kui Jia TTA 122 24 0 26 Sep 2023
Test-Time Training with Masked Autoencoders Yossi Gandelsman Yu Sun Xinlei Chen Alexei A. Efros OOD 74 170 0 15 Sep 2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu Weili Nie De-An Huang Zhiding Yu Tom Goldstein Anima Anandkumar Chaowei Xiao VLM VPVLM 208 300 0 15 Sep 2022
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment Takeshi Kojima Yutaka Matsuo Yusuke Iwasawa 70 28 0 28 Jun 2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions Zhaoqi Leng Mingxing Tan Chenxi Liu E. D. Cubuk Xiaojie Shi Shuyang Cheng Drago Anguelov 51 136 0 26 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 101 419 0 25 Mar 2022
Parameter-free Online Test-time Adaptation Malik Boudiaf Romain Mueller Ismail Ben Ayed Luca Bertinetto TTA 46 149 0 15 Jan 2022
Test time Adaptation through Perturbation Robustness Prabhu Teja Sivaprasad Franccois Fleuret TTA OOD 45 32 0 19 Oct 2021
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 84 559 0 19 Jul 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation Chaithanya Kumar Mummadi Robin Hutmacher K. Rambach Evgeny Levinkov Thomas Brox J. H. Metzen TTA OOD 138 69 0 28 Jun 2021
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 110 32 0 27 Apr 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 93 177 0 05 Mar 2021
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman 84 135 0 21 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 170 1,428 0 14 Dec 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 58 161 0 08 Jul 2020
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 Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 79 479 0 30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 300 1,727 0 29 Jun 2020
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks Like Hui M. Belkin UQCV AAML VLM 46 171 0 12 Jun 2020
Consistent Video Depth Estimation Xuan Luo Jia-Bin Huang Richard Szeliski Kevin Blackburn-Matzen Johannes Kopf 3DV MDE 64 334 0 30 Apr 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 95 1,238 0 20 Feb 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 340 795 0 26 Aug 2019
Learning to Self-Train for Semi-Supervised Few-Shot Classification Xinzhe Li Qianru Sun Yaoyao Liu Shibao Zheng Qin Zhou Tat-Seng Chua Bernt Schiele SSL 59 269 0 03 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 119 751 0 31 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 366 9,467 0 28 May 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 215 5,189 0 10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 167 2,598 0 10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 231 6,019 0 26 Sep 2014