
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:
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
Showing 4 citing articles:
Enhancing source-free domain adaptation in Medical Image Segmentation via regulated model self-training
Tianwei Zhang, Kang Li, Shi Gu, et al.
Medical Image Analysis (2025), pp. 103543-103543
Closed Access
Tianwei Zhang, Kang Li, Shi Gu, et al.
Medical Image Analysis (2025), pp. 103543-103543
Closed Access
Domain consistency learning for continual test-time adaptation in image semantic segmentation
Yanyu Ye, Wei Wei, Lei Zhang, et al.
Pattern Recognition (2025), pp. 111585-111585
Closed Access
Yanyu Ye, Wei Wei, Lei Zhang, et al.
Pattern Recognition (2025), pp. 111585-111585
Closed Access
TS-TTA: two-stage feature alignment test time adaptation for medical image segmentation
Jiakun Wang
(2024), pp. 299-299
Closed Access
Jiakun Wang
(2024), pp. 299-299
Closed 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