40 citations · 43 across the 10 of their papers we have counts for
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cs.CV2026
ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models
Chenxi Ruan, Yihan Hou, Yu Xiao +2
Text-to-image (T2I) models have advanced considerably in generating high-quality images from textual descriptions. However, their ability to associate colors with concepts remains…
cs.CV2024
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
Hao Wang, Shengda Luo, Guosheng Hu +1
Multimodal learning with incomplete input data (missing modality) is practical and challenging. In this work, we conduct an in-depth analysis of this challenge and find that modali…
cs.CV2020★ 40 cited
DADA: Differentiable Automatic Data Augmentation
Yonggang Li, Guosheng Hu, Yongtao Wang +3
Data augmentation (DA) techniques aim to increase data variability, and thus train deep networks with better generalisation. The pioneering AutoAugment automated the search for opt…