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Found 3 papers, 1 papers with code
VGGFace2: A dataset for recognising faces across pose and age
The dataset was collected with three goals in mind: (i) to have both a large number of identities and also a large number of images for each identity; (ii) to cover a large range of pose, age and ethnicity; and (iii) to minimize the label noise.
Ranked #1 on
Face Verification
on IJB-C
(training dataset metric)
Template Adaptation for Face Verification and Identification
Face recognition performance evaluation has traditionally focused on one-to-one verification, popularized by the Labeled Faces in the Wild dataset for imagery and the YouTubeFaces dataset for videos.
Ranked #8 on
Face Verification
on IJB-A
A Compact and Discriminative Face Track Descriptor
Our goal is to learn a compact, discriminative vector representation of a face track, suitable for the face recognition tasks of verification and classification.
