Abstract: In this study, we propose Multimodal Fusion-supervised Cross-modality Alignment Perception (MulFS-CAP), a novel framework for single-stage fusion of unregistered infrared-visible images.
Abstract: Video-based Unsupervised Domain Adaptation (VUDA) method improves the generalization of the video model, en-abling it to be applied to action recognition tasks in different environments.