Remote learning for students begins with understanding how to work together as a team while overcoming social and ...
Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, the large vision model ...
Abstract: Multimodal MR image synthesis aims to generate missing modality images by effectively fusing and mapping from a subset of available MRI modalities. Most existing methods adopt an ...
Purpose This study aimed to explore the impact of treatment modalities on the survival outcomes of HER2-positive patients with early-stage invasive ductal breast cancer. Methods Hierarchical ...
Abstract: Visible-Infrared person re-identification (VI-ReID) aims to match pedestrian images across modalities, requiring the simultaneous handling of intra- and cross-modality discrepancies.
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