Frontiers

Multi-modal Learning with Large-scale Models

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
IEEE

Mining Cross-Modality Implicit Semantic Association for Unsupervised Visible-Infrared Person Re-Identification

Abstract: Unsupervised visible-infrared person reidentification (US-VI-ReID) seeks to learn a cross-modality retrieval model without relying on manual annotations, thereby reducing the high cost ...
IEEE

Modality Bank: Learn multi-modality images across data centers without sharing medical data

Abstract: Multi-modality images have been widely used and provide comprehensive information for medical image analysis. However, acquiring all modalities among all institutes is costly and often ...
GitHub

Multimodal Learning Under Imperfect Data Conditions: A Survey

Authors: Muhamamd Irzam Liaqat, Qaiser Abbas, Shah Nawaz, Muhammad Zaigham Zaheer, Marta Moscati, Yufang Hou, Muhammad Haris Khan, Salman Khan, Elisabeth Andre, Markus Schedl Fig 1: Abstract Overview ...
Western Michigan University

Exploring the HyFlex Modality

Although flexible learning experiences vary by university, the term HyFlex implies a specific approach to the design of learning experiences. As departments work to increase enrollment, completion, ...