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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:

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 139

Showing 1-25 of 139 citing articles:

Image Segmentation Using Text and Image Prompts
Timo Lüddecke, Alexander S. Ecker
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7076-7086
Open Access | Times Cited: 223
Hypercorrelation Squeeze for Few-Shot Segmenation
Juhong Min, Dahyun Kang, Minsu Cho
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Closed Access | Times Cited: 181
Mining Latent Classes for Few-shot Segmentation
Lihe Yang, Wei Zhuo, Lei Qi, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 115
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
Learning Non-target Knowledge for Few-shot Semantic Segmentation
Yuanwei Liu, Nian Liu, Qinglong Cao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 11563-11572
Open Access | Times Cited: 89
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Sunghwan Hong, Seokju Cho, Jisu Nam, et al.
Lecture notes in computer science (2022), pp. 108-126
Open Access | Times Cited: 78
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
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Bohao Peng, Zhuotao Tian, Xiaoyang Wu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 23641-23651
Open Access | Times Cited: 55
FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network
Huafeng Liu, Pai Peng, Tao Chen, et al.
IEEE Transactions on Multimedia (2023) Vol. 25, pp. 8580-8592
Open Access | Times Cited: 47
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
Xinyu Shi, Dong Wei, Yu Zhang, et al.
Lecture notes in computer science (2022), pp. 151-168
Closed Access | Times Cited: 68
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
Jie Liu, Yanqi Bao, Guo-Sen Xie, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 11543-11552
Open Access | Times Cited: 66
Integrative Few-Shot Learning for Classification and Segmentation
Dahyun Kang, Minsu Cho
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 59
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min, Dahyun Kang, Minsu Cho
arXiv (Cornell University) (2021)
Open Access | Times Cited: 56
Source-free domain adaptation for image segmentation
Mathilde Bateson, Hoel Kervadec, José Dolz, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102617-102617
Open Access | Times Cited: 53
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
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
Wenqi Ren, Yang Tang, Qiyu Sun, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 11, Iss. 5, pp. 1106-1126
Open Access | Times Cited: 35
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
Dahyun Kang, Piotr Koniusz, Minsu Cho, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 19627-19638
Closed Access | Times Cited: 22
Query-Guided Prototype Evolution Network for Few-Shot Segmentation
Runmin Cong, Hang Xiong, J.R. Chen, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 6501-6512
Open Access | Times Cited: 10
Pixel Matching Network for Cross-Domain Few-Shot Segmentation
Hao Chen, Yonghan Dong, Zhe‐Ming Lu, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 967-976
Closed Access | Times Cited: 10
LLaFS: When Large Language Models Meet Few-Shot Segmentation
Lanyun Zhu, Tianrun Chen, Deyi Ji, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 3065-3075
Closed Access | Times Cited: 8
ViT-CAPS: Vision Transformer with Contrastive Adaptive Prompt Segmentation
Khawaja Iftekhar Rashid, Chenhui Yang
Neurocomputing (2025), pp. 129578-129578
Closed Access | Times Cited: 1
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
VRP-SAM: SAM with Visual Reference Prompt
Yanpeng Sun, Jiahui Chen, Shan Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 23565-23574
Closed Access | Times Cited: 6
Adaptive Agent Transformer for Few-Shot Segmentation
Yuan Wang, Rui Sun, Zhe Zhang, et al.
Lecture notes in computer science (2022), pp. 36-52
Closed Access | Times Cited: 27
Few-Shot Segmentation With Optimal Transport Matching and Message Flow
Weide Liu, Chi Zhang, Henghui Ding, et al.
IEEE Transactions on Multimedia (2022) Vol. 25, pp. 5130-5141
Open Access | Times Cited: 26
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