EcoTTA: Memory-Efficient Continual Test-time Adaptation via
Self-distilled Regularization

EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

3 March 2023

In So Kweon

Papers citing "EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization"

18 / 18 papers shown

Title
GCAL: Adapting Graph Models to Evolving Domain Shifts Ziyue Qiao Qianyi Cai Hao Dong Jiawei Gu Pengyang Wang Meng Xiao Xiao Luo Hui Xiong CLL 53 0 0 22 May 2025
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 79 1 0 07 Oct 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 121 1 0 21 Jun 2024
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation K. Azarian Debasmit Das Hyojin Park Fatih Porikli 3DH OOD 50 3 0 12 Dec 2022
Test-Time Training with Masked Autoencoders Yossi Gandelsman Yu Sun Xinlei Chen Alexei A. Efros OOD 70 169 0 15 Sep 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation Sanghun Jung Jungsoo Lee Nanhee Kim Amirreza Shaban Byron Boots Jaegul Choo OOD TTA 51 17 0 01 Jun 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 87 412 0 25 Mar 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization Yabin Zhang Minghan Li Ruihuang Li Kui Jia Lei Zhang OOD 77 166 0 15 Mar 2022
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation Yizhe Zhang Shubhankar Borse H. Cai Fatih Porikli VOS TTA 54 40 0 24 Oct 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 268 689 0 19 Oct 2020
Instance Adaptive Self-Training for Unsupervised Domain Adaptation Ke Mei Chuang Zhu Jiaqi Zou Shanghang Zhang 55 306 0 27 Aug 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 66 246 0 19 Jun 2020
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 60 142 0 02 Nov 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 82 826 0 08 Aug 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 125 1,931 0 06 Jun 2019
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 169 16,337 0 17 Jul 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 319 26,241 0 05 Sep 2017
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 616 11,540 0 06 Apr 2016