OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Robust Test-Time Adaptation in Dynamic Scenarios
Longhui Yuan, Binhui Xie, Shuang Li
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 36
Longhui Yuan, Binhui Xie, Shuang Li
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 36
Showing 1-25 of 36 citing articles:
A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts
Jian Liang, Ran He, Tieniu Tan
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 46
Jian Liang, Ran He, Tieniu Tan
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 46
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction
Robert A. Marsden, Mario Döbler, Bin Yang
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2543-2553
Open Access | Times Cited: 8
Robert A. Marsden, Mario Döbler, Bin Yang
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 2543-2553
Open Access | Times Cited: 8
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
Senqiao Yang, Jiarui Wu, Jiaming Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16334-16342
Open Access | Times Cited: 7
Senqiao Yang, Jiarui Wu, Jiaming Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16334-16342
Open Access | Times Cited: 7
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
Yongyi Su, Xun Xu, Kui Jia
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 15126-15135
Open Access | Times Cited: 5
Yongyi Su, Xun Xu, Kui Jia
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 15126-15135
Open Access | Times Cited: 5
Test-Time Adaptation for EEG-Based Driver Drowsiness Classification
Geun-Deok Jang, Dong‐Kyun Han, Seong‐Whan Lee
Lecture notes in computer science (2025), pp. 410-424
Closed Access
Geun-Deok Jang, Dong‐Kyun Han, Seong‐Whan Lee
Lecture notes in computer science (2025), pp. 410-424
Closed Access
Cloud-Edge Test-Time Adaptation for Cross-Domain Online Machinery Fault Diagnosis via Customized Contrastive Learning
Mengliang Zhu, Jie Liu, Zhongxu Hu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102514-102514
Closed Access | Times Cited: 4
Mengliang Zhu, Jie Liu, Zhongxu Hu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102514-102514
Closed Access | Times Cited: 4
Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation
Jiayi Ni, Senqiao Yang, Ran Xu, et al.
(2024), pp. 3044-3050
Open Access | Times Cited: 4
Jiayi Ni, Senqiao Yang, Ran Xu, et al.
(2024), pp. 3044-3050
Open Access | Times Cited: 4
Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks
Shuang Cui, Yi Li, Jiangmeng Li, et al.
International Journal of Computer Vision (2025)
Closed Access
Shuang Cui, Yi Li, Jiangmeng Li, et al.
International Journal of Computer Vision (2025)
Closed Access
Compression and restoration: exploring elasticity in continual test-time adaptation
Jingwei Li, Chengbao Liu, Xiwei Bai, et al.
Machine Learning (2025) Vol. 114, Iss. 4
Closed Access
Jingwei Li, Chengbao Liu, Xiwei Bai, et al.
Machine Learning (2025) Vol. 114, Iss. 4
Closed Access
DFDW: Distribution-aware Filter and Dynamic Weight for open-mixed-domain Test-time adaptation
Mingwen Shao, Xiaoyun Shao, Lingzhuang Meng, et al.
Image and Vision Computing (2025), pp. 105521-105521
Closed Access
Mingwen Shao, Xiaoyun Shao, Lingzhuang Meng, et al.
Image and Vision Computing (2025), pp. 105521-105521
Closed Access
Domain-Aware Knowledge Distillation for Continual Model Generalization
Nikhil Reddy, Mahsa Baktashmotlagh, Chetan Arora
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 685-696
Closed Access | Times Cited: 3
Nikhil Reddy, Mahsa Baktashmotlagh, Chetan Arora
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 685-696
Closed Access | Times Cited: 3
Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation
Tingting Mao, Chang Li, Rencheng Song, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 20784-20796
Closed Access | Times Cited: 2
Tingting Mao, Chang Li, Rencheng Song, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 20784-20796
Closed Access | Times Cited: 2
Calibration-free online test-time adaptation for electroencephalography motor imagery decoding
Martin Wimpff, Mario Döbler, Bin Yang
(2024) Vol. 33, pp. 1-6
Open Access | Times Cited: 2
Martin Wimpff, Mario Döbler, Bin Yang
(2024) Vol. 33, pp. 1-6
Open Access | Times Cited: 2
In Search of Lost Online Test-Time Adaptation: A Survey
Zixin Wang, Yadan Luo, Liang Zheng, et al.
International Journal of Computer Vision (2024)
Open Access | Times Cited: 2
Zixin Wang, Yadan Luo, Liang Zheng, et al.
International Journal of Computer Vision (2024)
Open Access | Times Cited: 2
Reliable Spatial-Temporal Voxels For Multi-modal Test-Time Adaptation
Haozhi Cao, Yuecong Xu, Jianfei Yang, et al.
Lecture notes in computer science (2024), pp. 232-249
Closed Access | Times Cited: 2
Haozhi Cao, Yuecong Xu, Jianfei Yang, et al.
Lecture notes in computer science (2024), pp. 232-249
Closed Access | Times Cited: 2
Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning
Jiayuan Zhang, Xuefeng Liu, Yukang Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4191-4202
Closed Access | Times Cited: 1
Jiayuan Zhang, Xuefeng Liu, Yukang Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 4191-4202
Closed Access | Times Cited: 1
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching
Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 1
Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 1
From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation?
Chang’an Yi, Haotian Chen, Yifan Zhang, et al.
(2024), pp. 10085-10094
Closed Access | Times Cited: 1
Chang’an Yi, Haotian Chen, Yifan Zhang, et al.
(2024), pp. 10085-10094
Closed Access | Times Cited: 1
Diversity-Aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-Time Adaptation
Mario Döbler, Florian Marencke, Robert A. Marsden, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7665-7669
Open Access
Mario Döbler, Florian Marencke, Robert A. Marsden, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7665-7669
Open Access
Unraveling Batch Normalization for Realistic Test-Time Adaptation
Zixian Su, Jingwei Guo, Kai Yao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 15136-15144
Open Access
Zixian Su, Jingwei Guo, Kai Yao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 15136-15144
Open Access
DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation
Zichen Liu, Hongbo Sun, Yuxin Peng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14106-14114
Open Access
Zichen Liu, Hongbo Sun, Yuxin Peng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14106-14114
Open Access
Towards Test Time Domain Adaptation via Negative Label Smoothing
Hao Yang, Hao Zuo, Rui Zhou, et al.
Neurocomputing (2024) Vol. 600, pp. 128182-128182
Closed Access
Hao Yang, Hao Zuo, Rui Zhou, et al.
Neurocomputing (2024) Vol. 600, pp. 128182-128182
Closed Access
Advancing Model Generalization in Continuous Cyclic Test-Time Adaptation with Matrix Perturbation Noise
Jinshen Jiang, Hao Yang, Lin Yang, et al.
Mathematics (2024) Vol. 12, Iss. 18, pp. 2800-2800
Open Access
Jinshen Jiang, Hao Yang, Lin Yang, et al.
Mathematics (2024) Vol. 12, Iss. 18, pp. 2800-2800
Open Access
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
Jiaming Liu, Ran Xu, Senqiao Yang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 28653-28663
Closed Access
Jiaming Liu, Ran Xu, Senqiao Yang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 35, pp. 28653-28663
Closed Access
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
Taeckyung Lee, Sorn Chottananurak, Taesik Gong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 28643-28652
Closed Access
Taeckyung Lee, Sorn Chottananurak, Taesik Gong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 28643-28652
Closed Access
