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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:

Feature Weighting and Boosting for Few-Shot Segmentation
Khoi Nguyen, Sinisa Todorovic
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 622-631
Open Access | Times Cited: 302

Showing 1-25 of 302 citing articles:

Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Zhuotao Tian, Hengshuang Zhao, Michelle Shu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 44, Iss. 2, pp. 1050-1065
Open Access | Times Cited: 381
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Gen Li, Varun Jampani, Laura Sevilla-Lara, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 306
Prototype Mixture Models for Few-Shot Semantic Segmentation
Boyu Yang, Chang Liu, Bohao Li, et al.
Lecture notes in computer science (2020), pp. 763-778
Closed Access | Times Cited: 299
Part-Aware Prototype Network for Few-Shot Semantic Segmentation
Yongfei Liu, Xiangyi Zhang, Songyang Zhang, et al.
Lecture notes in computer science (2020), pp. 142-158
Closed Access | Times Cited: 280
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu, Shalini De Mello, Sifei Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 255
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song, Ting Wang, Puyu Cai, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-40
Open Access | Times Cited: 236
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
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation
Chunbo Lang, Gong Cheng, Binfei Tu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 8047-8057
Open Access | Times Cited: 178
Few-Shot Semantic Segmentation with Democratic Attention Networks
Haochen Wang, Xudong Zhang, Yutao Hu, et al.
Lecture notes in computer science (2020), pp. 730-746
Closed Access | Times Cited: 170
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu, Sen He, Xiatian Zhu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 152
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
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
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation
Guo-Sen Xie, Jie Liu, Huan Xiong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Closed Access | Times Cited: 122
Segmenting Objects From Relational Visual Data
Xiankai Lu, Wenguan Wang, Jianbing Shen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 11, pp. 7885-7897
Open Access | Times Cited: 120
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
Holistic Prototype Activation for Few-Shot Segmentation
Gong Cheng, Chunbo Lang, Junwei Han
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-17
Closed Access | Times Cited: 87
Base and Meta: A New Perspective on Few-Shot Segmentation
Chunbo Lang, Gong Cheng, Binfei Tu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10669-10686
Closed Access | Times Cited: 85
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
Dual Branch Multi-Level Semantic Learning for Few-Shot Segmentation
Yadang Chen, Ren Jiang, Yuhui Zheng, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 1432-1447
Closed Access | Times Cited: 15
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Zhonghua Wu, Xiangxi Shi, Guosheng Lin, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 497-506
Open Access | Times Cited: 101
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