9 citations · 10 across the 4 of their papers we have counts for
4 papers
Prototype-Guided Curriculum Learning for Zero-Shot Learning
Lei Wang, Shiming Chen, Guo-Sen Xie +4
In Zero-Shot Learning (ZSL), embedding-based methods enable knowledge transfer from seen to unseen classes by learning a visual-semantic mapping from seen-class images to class-lev…
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
LeiLei Ma, Shuo Xu, MingKun Xie +3
Modeling label correlations has always played a pivotal role in multi-label image classification (MLC), attracting significant attention from researchers. However, recent studies h…
Text-Region Matching for Multi-Label Image Recognition with Missing Labels
Leilei Ma, Hongxing Xie, Lei Wang +3
Recently, large-scale visual language pre-trained (VLP) models have demonstrated impressive performance across various downstream tasks. Motivated by these advancements, pioneering…
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
Lei Wang, Yibing Zhan, Leilei Ma +3
Recently, Mix-style data augmentation methods (e.g., Mixup and CutMix) have shown promising performance in various visual tasks. However, these methods are primarily designed for s…