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OpenAlex Citation Counts

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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:

Continual coarse-to-fine domain adaptation in semantic segmentation
Donald Shenaj, Francesco Barbato, Umberto Michieli, et al.
Image and Vision Computing (2022) Vol. 121, pp. 104426-104426
Open Access | Times Cited: 14

Showing 14 citing articles:

Source-Free Open Compound Domain Adaptation in Semantic Segmentation
Yuyang Zhao, Zhun Zhong, Zhiming Luo, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 32, Iss. 10, pp. 7019-7032
Open Access | Times Cited: 62
Information entropy induced graph convolutional network for semantic segmentation
Shuang Bai, Liang Chen, Zhen Wang, et al.
Journal of Visual Communication and Image Representation (2024) Vol. 103, pp. 104217-104217
Closed Access | Times Cited: 5
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan, Danpei Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 10891-10910
Open Access | Times Cited: 4
Discriminable feature enhancement for unsupervised domain adaptation
Yanan Li, Yifei Liu, Dingrun Zheng, et al.
Image and Vision Computing (2023) Vol. 137, pp. 104755-104755
Closed Access | Times Cited: 10
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains
Marco Toldo, Umberto Michieli, Pietro Zanuttigh
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 11, pp. 7434-7450
Open Access | Times Cited: 3
Unsupervised domain adaptation using fuzzy rules and stochastic hierarchical convolutional neural networks
Siraj Khan, Muhammad Asim, Salabat Khan, et al.
Computers & Electrical Engineering (2022) Vol. 105, pp. 108547-108547
Closed Access | Times Cited: 10
A Recurrently Complicated Lightweight Network for Superresolution of Remote Sensing Images
D.-X. Hua, Kunping Yang, Jianchong Wei, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 11723-11740
Open Access | Times Cited: 1
Class-discriminative domain generalization for semantic segmentation
Muxin Liao, Shishun Tian, Yuhang Zhang, et al.
Image and Vision Computing (2024), pp. 105393-105393
Closed Access | Times Cited: 1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data
Elena Camuffo, Simone Milani
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 2447-2456
Open Access | Times Cited: 2
An In-Depth Analysis of Domain Adaptation in Computer and Robotic Vision
M. Hassan Tanveer, Zainab Fatima, Shehnila Zardari, et al.
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12823-12823
Open Access | Times Cited: 2
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation
Elena Camuffo, Umberto Michieli, Simone Milani
IEEE Transactions on Multimedia (2023) Vol. 27, pp. 978-989
Open Access | Times Cited: 2
Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation
Zihao Dong, Sijie Niu, Xizhan Gao, et al.
Pattern Recognition (2023) Vol. 146, pp. 110019-110019
Closed Access | Times Cited: 1
Information Entropy Induced Graph Convolutional Network for Semantic Segmentation
Shuang Bai, Liang Chen, Yifeng Cheng, et al.
(2023)
Closed Access
Domain Adaptation for Image Segmentation with Category-Guide Classifier
Keqiuyin Li, Jie Lü, Hua Zuo, et al.
2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) (2023), pp. 568-572
Closed Access
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