GitHub

Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
GitHub

MINIMA: Modality Invariant Image Matching

1 Huazhong University of Science & Technology, 2 Wuhan University. Image matching for both cross-view and cross-modality plays a critical role in multimodal perception. In practice, the modality gap ...
IEEE

Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging

Abstract: Multi-modality imaging is widely used in clinical practice and biomedical research to gain a comprehensive understanding of an imaging subject. Currently, multi-modality imaging is ...
The Lancet

Effects of missed anti-tuberculosis therapy doses on treatment outcome: a multi-center cohort study

iDivision of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA jDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, USA ...
IEEE

Bridging MRI Cross-Modality Synthesis and Multi-Contrast Super-Resolution by Fine-Grained Difference Learning

Abstract: In multi-modal magnetic resonance imaging (MRI), the tasks of imputing or reconstructing the target modality share a common obstacle: the accurate modeling of fine-grained inter-modal ...