30 citations · 50 across the 4 of their papers we have counts for
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cs.CV2022★ 5 cited
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Junxiang Huang, Alexander Huang, Beatriz C. Guerra +1
While much of recent study in semi-supervised learning (SSL) has achieved strong performance on single-label classification problems, an equally important yet underexplored problem…
cs.CV2021★ 30 cited
Multi-layered Semantic Representation Network for Multi-label Image Classification
Xiwen Qu, Hao Che, Jun Huang +2
Multi-label image classification (MLIC) is a fundamental and practical task, which aims to assign multiple possible labels to an image. In recent years, many deep convolutional neu…