Video Face Clustering with Unknown Number of Clusters. Makarand Tapaswi12
20 août 2019 In this paper we consider a setup where all face tracks are to be clustered into an unknown number of characters. Ball Cluster. Learning.
20 août 2019 In this paper we consider a setup where all face tracks are to be clustered into an unknown number of characters. Ball Cluster. Learning.
Unlike other hierarchical clustering methods the cannot-link constraints offer a natural lower bound on the resulting number of clusters
In this paper we consider a setup where all face tracks are to be clustered into an unknown number of characters. Ball Cluster. Learning. Similar case d
5 avr. 2020 video face clustering datasets: BBT-0101 BF-0502
In this paper we consider a setup where all face tracks are to be clustered into an unknown number of characters. Ball Cluster. Learning. Similar case d
https://hal-polytechnique.archives-ouvertes.fr/hal-03353619/document
Both [60] and [50] do not assume a known K where the former focuses on clustering faces and the latter on generating posterior samples of cluster labels for
4 avr. 2016 Often the labels attached to the face images are either missing or contain noise. The number of clusters or the unknown number of identities.