DRTN: Dual Relation Transformer Network with Feature Erasure and Contrastive Learning for Multi-Label Image Classification

Information Science, Computer Science, Artificial Intelligence,
Multi-label image classification   Transformer   Pseudo-region   Feature erasure   Contrastive learning  

New Breakthrough in Multi-Label Image Classification: Dual Relation Transformer Network Academic Background Multi-Label Image Classification (MLIC) is a fundamental yet highly challenging problem in the field of computer vision. Unlike single-label image classification, MLIC aims to assign multiple labels to objects within a single image. Due to th...