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Face clustering using a weighted combination of deep ...
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由 D Skiadopoulou 著作2022被引用 5 次 — In this work, we perform face clustering by combining multiple representations of each image obtained from several deep face networks.
Face clustering using a weighted combination of deep ...
ACM Digital Library
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由 D Skiadopoulou 著作2022被引用 5 次 — In this work, we perform face clustering by combining multiple representations of each image obtained from several deep face networks. The multiple deep ...
Face clustering using a weighted combination of deep ...
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由 D Skiadopoulou 著作2022被引用 5 次 — Abstract: Clustering of face images is a well-known clustering problem with several applications as for example the automated face tagging in photo albums.
使用深度表示的加权组合进行人脸聚类
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使用深度表示的加权组合进行人脸聚类. Neural Comput. & Applic. Pub Date : 2021-10-29. DOI : 10.1007/s00521-021-06581-8. Dafni Skiadopoulou , Aristidis Likas.
Face clustering using a weighted combination of deep ...
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The conducted experiments have shown that the weighted combination of deep face representations leads to improved clustering performance compared to using ...
Face Clustering: Representation and Pairwise Constraints
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Face clustering using a weighted combination of deep representations · Dafni SkiadopoulouA. Likas. Computer Science. Neural Computing and Applications. 2021.
Joint Face Representation Adaptation and Clustering in Videos
CUHK MMLab
http://mmlab.ie.cuhk.edu.hk › support › ECCV16
CUHK MMLab
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由 Z Zhang 著作被引用 55 次 — Abstract. Clustering faces in movies or videos is extremely challenging since characters' appearance can vary drastically under different scenes.
Clustering on faces . A standard face detector has been run ...
ResearchGate
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The conducted experiments have shown that the weighted combination of deep face representations leads to improved clustering performance compared to using ...
Video Face Clustering With Unknown Number of Clusters
CVF Open Access
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由 M Tapaswi 著作2019被引用 77 次 — In online face clustering spatio- temporal constraints along with CNN representations are used to assign a new track to existing or new cluster [19]. However, ...
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[PDF] A Proximity-Aware Hierarchical Clustering of Faces
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An unsupervised face clustering algorithm called “Proximity-Aware Hierarchical Clustering” (PAHC) that exploits the local structure of deep representations ...