
-
Compact Learning for Multi-Label Classification
Multi-label classification (MLC) studies the problem where each instance...
read it
-
Provably Consistent Partial-Label Learning
Partial-label learning (PLL) is a multi-class classification problem, wh...
read it
-
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
Facial attributes (e.g., age and attractiveness) estimation performance ...
read it
-
Progressive Identification of True Labels for Partial-Label Learning
Partial-label learning is one of the important weakly supervised learnin...
read it
-
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
Multi-person pose estimation is a fundamental yet challenging task in co...
read it
-
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
Multi-person pose estimation is an important but challenging problem in ...
read it
-
Multi-Label Learning with Label Enhancement
Multi-label learning deals with training instances associated with multi...
read it
-
Deep Label Distribution Learning with Label Ambiguity
Convolutional Neural Networks (ConvNets) have achieved excellent recogni...
read it