GitHub

CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation

This repository is the official implementation of CMFS, a unified framework that leverages CLIP-guided modality interaction to mitigate noise in multi-modal image fusion and segmentation.
IEEE

Dual-Level Modality De-Biasing for RGB-T Tracking

Abstract: RGB-T tracking aims to effectively leverage the complement ability of visual (RGB) and infrared (TIR) modalities to achieve robust tracking performance in various scenarios. Existing RGB-T ...
GitHub

MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation

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 ...
Frontiers

Effects of different exercise modalities on inflammatory markers in the obese and overweight populations: unraveling the mystery of exercise and inflammation

1 Capital University of Physical Education and Sports, Beijing, China 2 Department of Physical Education, Hanyang University, Seoul, Republic of Korea In the realm of obesity and overweight, the risk ...
IEEE

Mixed-Modality Clustering via Generative Graph Structure Matching

Abstract: The goal of mixed-modality clustering, which differs from typical multi-modality/view clustering, is to divide samples derived from various modalities into several clusters. This task has to ...