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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:

Self-Supervised Tuning for Few-Shot Segmentation
Kai Zhu, Wei Zhai, Yang Cao
(2020), pp. 1019-1025
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Bingfeng Zhang, Jimin Xiao, Terry Qin
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 8308-8317
Open Access | Times Cited: 143
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Kai Zhu, Yang Cao, Wei Zhai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 6797-6806
Open Access | Times Cited: 117
Self-support Few-Shot Semantic Segmentation
Qi Fan, Wenjie Pei, Yu‐Wing Tai, et al.
Lecture notes in computer science (2022), pp. 701-719
Open Access | Times Cited: 106
Generalized Few-shot Semantic Segmentation
Zhuotao Tian, Xin Lai, Li Jiang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 70
Few-Shot Segmentation via Divide-and-Conquer Proxies
Chunbo Lang, Gong Cheng, Binfei Tu, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 1, pp. 261-283
Closed Access | Times Cited: 39
PFENet++: Boosting Few-Shot Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask
Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 2, pp. 1273-1289
Open Access | Times Cited: 16
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
Binghao Liu, Yao Ding, Jianbin Jiao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 9742-9751
Open Access | Times Cited: 40
One-Shot Object Affordance Detection in the Wild
Wei Zhai, Hongchen Luo, Jing Zhang, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 10, pp. 2472-2500
Open Access | Times Cited: 26
Learning Visual Affordance Grounding From Demonstration Videos
Hongchen Luo, Wei Zhai, Jing Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16857-16871
Open Access | Times Cited: 14
Learning self-target knowledge for few-shot segmentation
Yadang Chen, Sihan Chen, Zhi-Xin Yang, et al.
Pattern Recognition (2024) Vol. 149, pp. 110266-110266
Closed Access | Times Cited: 4
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Weide Liu, Zhonghua Wu, Yang Zhao, et al.
International Journal of Computer Vision (2023) Vol. 132, Iss. 4, pp. 1277-1291
Closed Access | Times Cited: 10
FFNet: Feature Fusion Network for Few-shot Semantic Segmentation
Yanan Wang, Xiangtao Tian, Guoqiang Zhong
Cognitive Computation (2022) Vol. 14, Iss. 2, pp. 875-886
Closed Access | Times Cited: 15
DRNet: Double Recalibration Network for Few-Shot Semantic Segmentation
Guangyu Gao, Zhiyuan Fang, Cen Han, et al.
IEEE Transactions on Image Processing (2022) Vol. 31, pp. 6733-6746
Closed Access | Times Cited: 13
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
Mustafa Sercan Amac, Ahmet Sencan, Orhun Bugra Baran, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022), pp. 428-438
Open Access | Times Cited: 10
Phrase-Based Affordance Detection via Cyclic Bilateral Interaction
Liangsheng Lu, Wei Zhai, Hongchen Luo, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 5, pp. 1186-1198
Open Access | Times Cited: 8
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification
Nicolas Gorlo, Kenneth Blomqvist, Francesco Milano, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 4372-4384
Open Access | Times Cited: 1
Few-Shot Segmentation for Prohibited Items Inspection With Patch-Based Self-Supervised Learning and Prototype Reverse Validation
K. Ray Liu, Shujing Lyu, Yue Lu
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 4455-4463
Closed Access | Times Cited: 6
Learning Expressive Prompting With Residuals for Vision Transformers
Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. abs 1606 915, pp. 3366-3377
Open Access | Times Cited: 3
Hierarchical context-agnostic network with contrastive feature diversity for one-shot semantic segmentation
Zhiyuan Fang, Guangyu Gao, Zekang Zhang, et al.
Journal of Visual Communication and Image Representation (2023) Vol. 90, pp. 103754-103754
Closed Access | Times Cited: 3
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo, Zhuotao Tian, Taiping Zhang, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 6
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
Ruxue Wen, Hangjie Yuan, Dong Ni, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 453-463
Open Access
RRA-FFSCIL: Inter-intra classes representation and relationship augmentation federated few-shot incremental learning
Yalan Jiang, Yang Cheng, Dan Wang, et al.
Neurocomputing (2024) Vol. 597, pp. 127956-127956
Closed Access
Correlation Weighted Prototype-Based Self-supervised One-Shot Segmentation of Medical Images
Siladittya Manna, Saumik Bhattacharya, Umapada Pal
Lecture notes in computer science (2024), pp. 16-33
Closed Access
Self-Supervised Task Augmentation for Few-Shot Intent Detection
Pengfei Sun, Yawen Ouyang, Ding-Jie Song, et al.
Journal of Computer Science and Technology (2022) Vol. 37, Iss. 3, pp. 527-538
Closed Access | Times Cited: 1
Self-Compensating Learning for Few-Shot Segmentation
Jin Wang, Bingfeng Zhang, Weifeng Liu, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2023), pp. 1320-1324
Closed Access
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