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)
Latest papers
Local Connectivity-Based Density Estimation for Face Clustering
illian01/lce-pcenet
•
•
CVPR 2023
For this purpose, we propose a reliable density estimation algorithm based on local connectivity between K nearest neighbors (KNN).
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.
On Mitigating Hard Clusters for Face Clustering
echoanran/on-mitigating-hard-clusters
•
•
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images.
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.
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space
Thomas-wyh/Ada-NETS
•
•
ICLR 2022
In Ada-NETS, each face is transformed to a new structure space, obtaining robust features by considering face features of the neighbour images.
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering
espectre/GCNs_on_imbalanced_datasets
•
•
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.
Learning Hierarchical Graph Neural Networks for Image Clustering
Our hierarchical GNN uses a novel approach to merge connected components predicted at each level of the hierarchy to form a new graph at the next level.
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.
Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes
sstzal/STAR-FC
•
•
To address the dilemma of large-scale training and efficient inference, we propose the STructure-AwaRe Face Clustering (STAR-FC) method.
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.
