SOTAVerified

Facial Attribute Classification

Facial attribute classification is the task of classifying various attributes of a facial image - e.g. whether someone has a beard, is wearing a hat, and so on.

( Image credit: Multi-task Learning of Cascaded CNN for Facial Attribute Classification )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 37 papers

TitleStatusHype
FairFace: Face Attribute Dataset for Balanced Race, Gender, and AgeCode1
Deep Learning Face Attributes in the WildCode1
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
Improving Facial Attribute Prediction using Semantic Segmentation—0
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data—0
AFFACT - Alignment-Free Facial Attribute Classification Technique—0
Are Facial Attributes Adversarially Robust?—0
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification—0
Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification—0
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation—0
Show:102550
← PrevPage 2 of 4Next →

No leaderboard results yet.