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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:

Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)
Open Access | Times Cited: 682

Showing 1-25 of 682 citing articles:

Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 9300
A Simple Framework for Contrastive Learning of Visual Representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 6084
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill, Florian Strub, Florent Altché, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 2593
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron, Ishan Misra, Julien Mairal, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1680
Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
Longlong Jing, Yingli Tian
IEEE Transactions on Pattern Analysis and Machine Intelligence (2020) Vol. 43, Iss. 11, pp. 4037-4058
Open Access | Times Cited: 1594
Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola
Lecture notes in computer science (2020), pp. 776-794
Open Access | Times Cited: 1527
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra, Laurens van der Maaten
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 6706-6716
Open Access | Times Cited: 1218
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai, Avital Oliver, А. И. Колесников, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Open Access | Times Cited: 647
Generative Pretraining From Pixels
Mark Chen, Alec Radford, Rewon Child, et al.
International Conference on Machine Learning (2020) Vol. 1, pp. 1691-1703
Closed Access | Times Cited: 612
Contrastive Multiview Coding
Yonglong Tian, Dilip Krishnan, Phillip Isola
arXiv (Cornell University) (2019)
Open Access | Times Cited: 610
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
Eric Arazo, Diego Ortego, Paul Albert, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-8
Open Access | Times Cited: 578
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Guizilini, Rareş Ambruş, Sudeep Pillai, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 2482-2491
Open Access | Times Cited: 573
What Makes for Good Views for Contrastive Learning?
Yonglong Tian, Chen Sun, Ben Poole, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 517
A Survey on Deep Semi-Supervised Learning
Xiangli Yang, Zixing Song, Irwin King, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 9, pp. 8934-8954
Open Access | Times Cited: 440
Boosting Few-Shot Visual Learning With Self-Supervision
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 8058-8067
Open Access | Times Cited: 366
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal, Dhruv Mahajan, Abhinav Gupta, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 6390-6399
Open Access | Times Cited: 344
Self-Supervised GANs via Auxiliary Rotation Loss
Ting Chen, Xiaohua Zhai, Marvin Ritter, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 12146-12155
Open Access | Times Cited: 333
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 327
Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation
Jihun Yi, Sungroh Yoon
Lecture notes in computer science (2021), pp. 375-390
Open Access | Times Cited: 327
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He, Haoqi Fan, Yuxin Wu, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 314
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis, Mert Bülent Sarıyıldız, Noé Pion, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 265
Unsupervised Pre-Training of Image Features on Non-Curated Data
Mathilde Caron, Piotr Bojanowski, Julien Mairal, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 2959-2968
Open Access | Times Cited: 253
Self-Supervised Representation Learning: Introduction, advances, and challenges
Linus Ericsson, Henry Gouk, Chen Change Loy, et al.
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 3, pp. 42-62
Open Access | Times Cited: 251
Visual Commonsense R-CNN
Tan Wang, Jianqiang Huang, Hanwang Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 10757-10767
Open Access | Times Cited: 240
Knowledge Distillation Meets Self-supervision
Guodong Xu, Ziwei Liu, Xiaoxiao Li, et al.
Lecture notes in computer science (2020), pp. 588-604
Open Access | Times Cited: 221
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