Improving Face Recognition with Large AgeGaps by Learning to Distinguish Children
Inter-Prototype (BMVC 2021): Official Project Webpage
This repository provides the official PyTorch implementation of the following paper:
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
Jungsoo Lee* (KAIST AI), Jooyeol Yun* (KAIST AI), Sunghyun Park (KAIST AI),
Yonggyu Kim (Korea Univ.), and Jaegul Choo (KAIST AI) (*: equal contribution)
BMVC 2021
Paper: Arxiv
Abstract:
Despite the unprecedented improvement of face recognition, existing face recognition models still show considerably low performances in determining whether a pair of child and adult images belong to the same identity.
Previous approaches mainly focused on increasing the similarity between child and adult images of a given identity to overcome the discrepancy of facial