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Sungyeon Kim
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Proxy anchor loss for deep metric learning
S Kim, D Kim, M Cho, S Kwak
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4112020
Deep metric learning beyond binary supervision
S Kim, M Seo, I Laptev, M Cho, S Kwak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1202019
Embedding transfer with label relaxation for improved metric learning
S Kim, D Kim, M Cho, S Kwak
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
392021
Cross-domain ensemble distillation for domain generalization
K Lee, S Kim, S Kwak
European Conference on Computer Vision, 1-20, 2022
282022
Promptstyler: Prompt-driven style generation for source-free domain generalization
J Cho, G Nam, S Kim, H Yang, S Kwak
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
252023
Combating label distribution shift for active domain adaptation
S Hwang, S Lee, S Kim, J Ok, S Kwak
European Conference on Computer Vision, 549-566, 2022
152022
Self-taught metric learning without labels
S Kim, D Kim, M Cho, S Kwak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
152022
Hier: Metric learning beyond class labels via hierarchical regularization
S Kim, B Jeong, S Kwak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
Learning to generate novel classes for deep metric learning
K Lee, S Kim, S Hong, S Kwak
arXiv preprint arXiv:2201.01008, 2022
12022
Universal Metric Learning with Parameter-Efficient Transfer Learning
S Kim, D Kim, S Kwak
arXiv preprint arXiv:2309.08944, 2023
2023
Embedding Transfer via Smooth Contrastive Loss
S Kim, D Kim, M Cho, S Kwak
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Articles 1–11