Learning to Cluster Faces (CVPR 2019, CVPR 2020)
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Dec 27, 2021 - Python
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Learning to Cluster Faces (CVPR 2019, CVPR 2020)
Code for our ECCV 2018 work.
Clustering set of images based on the face recognized using the DBSCAN clustering algorithm.
This is an official implementation for "Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space" accepted at ICLR 2022.
A framework of face cluster
Sort similar looking faces to clusters
Sorting pictures by face from a corpus of photos.
Orcas , Classify your images by human faces.
recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.
FaceAlbumMind is an AI-powered tool for automatic photo album organization. It detects faces, generates feature vectors, and clusters photos based on facial similarities, helping you efficiently manage your photo collection.
Clustering and recognition of faces in a photo album
Demonstrates face clustering using DBSCAN (Density Based Spatial Clustering of Applications with Noise) algorithm.
Live realtime face clustering
application that receives a dataset of faces and creates a cluster of images that have similarity.
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