Face Clustering
21 papers with code • 1 benchmarks • 3 datasets
Face Clustering in the videos
Libraries
Use these libraries to find Face Clustering models and implementations
EasyCom
MovieGraphs
A View From Somewhere (AVFS)
Most implemented papers
Self-Supervised Learning of Face Representations for Video Face Clustering
In this paper, we address video face clustering using unsupervised methods.
An Internal Validity Index Based on Density-Involved Distance
One reason is that the measure of cluster separation does not consider the impact of outliers and neighborhood clusters.
Video Face Clustering with Unknown Number of Clusters
makarandtapaswi/BallClustering_ICCV2019
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ICCV 2019
Understanding videos such as TV series and movies requires analyzing who the characters are and what they are doing.
Dynamic Character Graph via Online Face Clustering for Movie Analysis
An effective approach to automated movie content analysis involves building a network (graph) of its characters.
Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes
sstzal/STAR-FC
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To address the dilemma of large-scale training and efficient inference, we propose the STructure-AwaRe Face Clustering (STAR-FC) method.
Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes
To address the dilemma of large-scale training and efficient inference, we propose the STructure-AwaRe Face Clustering (STAR-FC) method.
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering
espectre/GCNs_on_imbalanced_datasets
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Although imbalance problem has been extensively studied, the impact of imbalanced data on GCN- based linkage prediction task is quite different, which would cause problems in two aspects: imbalanced linkage labels and biased graph representations.
FaceMap: Towards Unsupervised Face Clustering via Map Equation
Face clustering is an essential task in computer vision due to the explosion of related applications such as augmented reality or photo album management.
On Mitigating Hard Clusters for Face Clustering
echoanran/on-mitigating-hard-clusters
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Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images.
Robust Graph Structure Learning via Multiple Statistical Tests
A natural way to construct a graph among images is to treat each image as a node and assign pairwise image similarities as weights to corresponding edges.
