3 papers
cs.CV2026
Multimodal Classification via Total Correlation Maximization
Feng Yu, Xiangyu Wu, Yang Yang +1
Multimodal learning integrates data from diverse sensors to effectively harness information from different modalities. However, recent studies reveal that joint learning often over…
cs.CV2026
Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation
Xiangyu Wu, Dongming Jiang, Feng Yu +5
Mainstream Test-Time Adaptation (TTA) methods for adapting vision-language models, e.g., CLIP, typically rely on Shannon Entropy (SE) at test time to measure prediction uncertainty…
cs.CV2025
Text as Any-Modality for Zero-Shot Classification by Consistent Prompt Tuning
Xiangyu Wu, Feng Yu, Yang Yang +1
The integration of prompt tuning with multimodal learning has shown significant generalization abilities for various downstream tasks. Despite advancements, existing methods heavil…