Learning to Cluster Faces (CVPR 2019, CVPR 2020)
-
Updated
Dec 27, 2021 - Python
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
Orcas , Classify your images by human faces.
Sorting pictures by face from a corpus of photos.
recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.
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
Smart-Album 是一个基于 Python 的智能相册管理系统,能够自动识别和分类图片中的人物。
A tiny experiment in DBSCAN face clustering with Python.
Add a description, image, and links to the face-clustering topic page so that developers can more easily learn about it.
To associate your repository with the face-clustering topic, visit your repo's landing page and select "manage topics."