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FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba
April 16, 2024, 4:47 a.m. | Xinyu Xie, Yawen Cui, Chio-In Ieong, Tao Tan, Xiaozhi Zhang, Xubin Zheng, Zitong Yu
cs.CV updates on arXiv.org arxiv.org
Abstract: Multi-modal image fusion aims to combine information from different modes to create a single image with comprehensive information and detailed textures. However, fusion models based on convolutional neural networks encounter limitations in capturing global image features due to their focus on local convolution operations. Transformer-based models, while excelling in global feature modeling, confront computational challenges stemming from their quadratic complexity. Recently, the Selective Structured State Space Model has exhibited significant potential for long-range dependency modeling …
arxiv cs.cv dynamic feature fusion image mamba multimodal type
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