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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:

i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee, Yian Zhu, Kihyuk Sohn, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 18239-18248
Open Access | Times Cited: 75
Rethinking Federated Learning with Domain Shift: A Prototype View
Wenke Huang, Mang Ye, Zekun Shi, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 16312-16322
Closed Access | Times Cited: 52
PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification
Minsu Kim, Seungryong Kim, Jungin Park, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 18621-18632
Open Access | Times Cited: 45
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Zhiqiang Shen, Zechun Liu, Zhuang Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 2, pp. 2216-2224
Open Access | Times Cited: 51
Towards Open-Set Object Detection and Discovery
Jiyang Zheng, Weihao Li, Jie Hong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 3960-3969
Open Access | Times Cited: 38
Survey: Image mixing and deleting for data augmentation
Humza Naveed, Saeed Anwar, Munawar Hayat, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 131, pp. 107791-107791
Open Access | Times Cited: 35
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification
Sangmin Bae, June-Woo Kim, Won-Yang Cho, et al.
Interspeech 2022 (2023)
Open Access | Times Cited: 20
A Simple Data Mixing Prior for Improving Self-Supervised Learning
Sucheng Ren, Huiyu Wang, Zhengqi Gao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 14575-14584
Open Access | Times Cited: 26
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions
Anshul Shah, Aniket Roy, Ketul Shah, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 34, pp. 18846-18856
Open Access | Times Cited: 14
M2ixKG: Mixing for harder negative samples in knowledge graph
Feihu Che, Jianhua Tao
Neural Networks (2024) Vol. 177, pp. 106358-106358
Closed Access | Times Cited: 3
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints
Srijan Das, Michael S. Ryoo
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 5562-5572
Open Access | Times Cited: 7
Align Representations with Base: A New Approach to Self-Supervised Learning
Shaofeng Zhang, Lyn Qiu, Feng Zhu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16579-16588
Closed Access | Times Cited: 11
Contrastive Learning Based on Multiscale Hard Features for Remote-Sensing Image Scene Classification
Zhihao Li, Biao Hou, Xianpeng Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-13
Closed Access | Times Cited: 6
Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning
Saarthak Kapse, Srijan Das, Jingwei Zhang, et al.
Medical Image Analysis (2023) Vol. 93, pp. 103070-103070
Open Access | Times Cited: 6
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing.
Aadarsh Sahoo, Rutav Shah, Rameswar Panda, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 15
Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network
Sangmin Bae, Sungnyun Kim, Jongwoo Ko, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 1, pp. 197-205
Open Access | Times Cited: 5
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu, Jennifer Hobbs, Naira Hovakimyan
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 16086-16097
Open Access | Times Cited: 5
Learning Dialogue Representations from Consecutive Utterances
Zhihan Zhou, Dejiao Zhang, Wei Xiao, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 8
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue, Fangzhou Lin, Guanyi Mou, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 1880-1892
Open Access | Times Cited: 1
Improving Unsupervised Hierarchical Representation With Reinforcement Learning
Ruyi An, Y. Li, Xu He, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 22946-22956
Closed Access | Times Cited: 1
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 34, pp. 12239-12249
Open Access | Times Cited: 4
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
Huimin Wu, Chenyang Lei, Xiao Sun, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 16259-16270
Open Access | Times Cited: 4
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation
Paul Albert, Mohamed Saadeldin, Badri Narayanan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 1635-1645
Open Access | Times Cited: 7
Similar Class Style Augmentation for Efficient Cross-Domain Few-Shot Learning
Manogna Sreenivas, Soma Biswas
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 4590-4598
Closed Access | Times Cited: 3
It Takes Two to Tango: Mixup for Deep Metric Learning
Shashanka Venkataramanan, Bill Psomas, Ewa Kijak, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
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