On Mitigating Hard Clusters for Face Clustering-Reference-Cited by-同舟云学术

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On Mitigating Hard Clusters for Face Clustering

Published:2022 Issue: Volume: Page:529-544
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Chen Yingjie^ORCID,Zhong Huasong^ORCID,Chen Chong^ORCID,Shen Chen^ORCID,Huang Jianqiang^ORCID,Wang Tao^ORCID,Liang Yun^ORCID,Sun Qianru^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19775-8_31

Reference34 articles.

1. Amigó, E., Gonzalo, J., Artiles, J., Verdejo, F.: A comparison of extrinsic clustering evaluation metrics based on formal constraints. Inf. Retr. 12(4), 461–486 (2009)

2. Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. arXiv preprint arXiv:1607.06450 (2016)

3. Banerjee, A., Krumpelman, C., Ghosh, J., Basu, S., Mooney, R.J.: Model-based overlapping clustering. In: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, pp. 532–537 (2005)

4. Breiman, L., Meisel, W., Purcell, E.: Variable kernel estimates of multivariate densities. Technometrics 19(2), 135–144 (1977)

5. Deng, J., Guo, J., Xue, N., Zafeiriou, S.: ArcFace: additive angular margin loss for deep face recognition. In: CVPR (2019)

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1. Learn to Cluster Faces with Better Subgraphs;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Adaptive Clustering for Point Cloud;Sensors;2024-01-28

3. Progressive structure enhancement graph convolutional network for face clustering;Engineering Applications of Artificial Intelligence;2024-01

4. Face Clustering via Graph Convolutional Networks with Confidence Edges;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Controllable Guide-Space for Generalizable Face Forgery Detection;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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