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:

DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers
Chi Zhang, Yujun Cai, Guosheng Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 12200-12210
Open Access | Times Cited: 729

Showing 1-25 of 729 citing articles:

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
Yaoyao Liu, Yuting Su, An-An Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 12242-12251
Open Access | Times Cited: 296

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

Few-Shot Classification with Feature Map Reconstruction Networks
Davis Wertheimer, Luming Tang, Bharath Hariharan
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 233

Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun, Zhenning Yang, Chi Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 13477-13486
Open Access | Times Cited: 222

Few-Shot Incremental Learning with Continually Evolved Classifiers
Chi Zhang, Nan Song, Guosheng Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021), pp. 12450-12459
Open Access | Times Cited: 206

CRNet: Cross-Reference Networks for Few-Shot Segmentation
Weide Liu, Chi Zhang, Guosheng Lin, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 201

Relational Embedding for Few-Shot Classification
Dahyun Kang, Heeseung Kwon, Juhong Min, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 8802-8813
Open Access | Times Cited: 189

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

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie, Fei Long, Jiaming Lv, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7962-7971
Open Access | Times Cited: 159

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

Adaptive Aggregation Networks for Class-Incremental Learning
Yaoyao Liu, Bernt Schiele, Qianru Sun
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 149

Forward Compatible Few-Shot Class-Incremental Learning
Da-Wei Zhou, Fuyun Wang, Han-Jia Ye, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9036-9046
Open Access | Times Cited: 148

Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang, Lu Liu, Min Xu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 146

Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection
Bohao Li, Boyu Yang, Chang Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 146

Learning a Few-shot Embedding Model with Contrastive Learning
Chen Liu, Yanwei Fu, Chengming Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 10, pp. 8635-8643
Open Access | Times Cited: 141

Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Chengming Xu, Yanwei Fu, Chen Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2021)
Open Access | Times Cited: 107

A survey of few-shot learning in smart agriculture: developments, applications, and challenges
Jiachen Yang, Xiaolan Guo, Yang Li, et al.
Plant Methods (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 103

Constrained Few-shot Class-incremental Learning
Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9047-9057
Open Access | Times Cited: 94

Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi, Hugo Larochelle, Jean‐François Lalonde, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 81

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
Renrui Zhang, Xiangfei Hu, Bohao Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 15211-15222
Open Access | Times Cited: 81

Boosting Few-Shot Fine-Grained Recognition With Background Suppression and Foreground Alignment
Zican Zha, Hao Tang, Yunlian Sun, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 8, pp. 3947-3961
Open Access | Times Cited: 75

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

DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
Chi Zhang, Yujun Cai, Guosheng Lin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-17
Open Access | Times Cited: 70

A Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
Yukun Su, Jingliang Deng, Ruizhou Sun, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 313-325
Open Access | Times Cited: 66

Part-Aware Correlation Networks for Few-shot Learning
Ruiheng Zhang, Jinyu Tan, Zhe Cao, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 9527-9538
Closed Access | Times Cited: 33

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