2 papers
eess.IV2024
EFCNet: Every Feature Counts for Small Medical Object Segmentation
Lingjie Kong, Qiaoling Wei, Chengming Xu +2
This paper explores the segmentation of very small medical objects with significant clinical value. While Convolutional Neural Networks (CNNs), particularly UNet-like models, and r…
cs.AI2024
Triple Disentangled Representation Learning for Multimodal Affective Analysis
Ying Zhou, Xuefeng Liang, Han Chen +3
Multimodal learning has exhibited a significant advantage in affective analysis tasks owing to the comprehensive information of various modalities, particularly the complementary i…