Continual Test-time Domain Adaptation via Dynamic Sample Selection

Continual Test-time Domain Adaptation via Dynamic Sample Selection

5 October 2023

David Ahmedt-Aristizabal

Mehrtash Harandi

Papers citing "Continual Test-time Domain Adaptation via Dynamic Sample Selection"

11 / 11 papers shown

Title
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation Zixuan Hu Yichun Hu Ling-yu Duan TTA 56 0 0 07 May 2025
FoCTTA: Low-Memory Continual Test-Time Adaptation with Focus Youbing Hu Yun Cheng Zimu Zhou Anqi Lu Zhiqiang Cao Zhijun Li TTA 61 0 0 28 Feb 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging Ali Bahri Moslem Yazdanpanah Mehrdad Noori Sahar Dastani Oghani Milad Cheraghalikhani David Osowiech Farzad Beizaee G. A. V. Hakim Ismail ben Ayed Christian Desrosiers 3DPC TTA 45 0 0 31 Dec 2024
Audiopedia: Audio QA with Knowledge Abhirama Subramanyam Penamakuri Kiran Chhatre Akshat Jain KELM AuLLM RALM 58 0 0 31 Dec 2024
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation Zhilin Zhu Xiaopeng Hong Zhiheng Ma Weijun Zhuang Yaohui Ma Yong Dai Yaowei Wang CLL TTA 45 2 0 12 Jul 2024
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 185 258 0 15 May 2022
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions Jiachen Sun Qingzhao Zhang B. Kailkhura Zhiding Yu Chaowei Xiao Z. Morley Mao 3DPC 38 84 0 28 Jan 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 252 862 0 15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 238 509 0 15 Jan 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 231 677 0 19 Oct 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016