Furthermore, we introduce the Cross-modality Fusion Mamba with Weather-removal (CFMW) to augment detection accuracy in adverse weather conditions. Thanks to the proposed Weather Removal Diffusion Model (WRDM) and Cross-modality Fusion Mamba (CFM) modules, CFMW is able to mine more essential ...
Fusion-Mamba (ours)YOLOv585.057.580.392.891.973.084.887.1 YOLOv8l-IRYOLOv879.553.182.990.990.064.663.085.9 YOLOv8l-RGB [13]YOLOv880.952.570.692.991.269.675.386.0 Fusion-Mamba (ours)YOLOv888.061.984.394.292.980.587.588.8 Table 3: Comparison results with SOTA methods on FLIR-Aligned Dataset. Th...
VMambaMorph: a Multi-Modality Deformable Image Registration Framework based on Visual State Space Model with Cross-Scan Module - ziyangwang007/VMambaMorph
Cross-modality fusing complementary information from different modalities effectively improves object detection performance, making it more useful and robust for a wider range of applications. Existing fusion strategies combine different types of images or merge different backbone features through elaborated neu...
Why mamba is effective? Exploit Linear Transformer-Mamba Network for Multi-Modality Image Fusion Multi-modality image fusion aims to integrate the merits of images from different sources and render high-quality fusion images. However, existing feature ... C Zhu,S Gao,H Chen,... 被引量: 0...
The Transformer model, particularly its cross-attention module, is widely used for feature fusion in target sound extraction which extracts the signal of interest based on given clues. Despite its effectiveness, this approach suffers from low computational efficiency. Recent advancements in state space ...
Cross-modal image-recipe retrieval via intra-and inter-modality hybrid fusion. In Proceedings of the 2021 International Conference on Multimedia Retrieval, Taipei, Taiwan, 21–24 August 2021; pp. 173–182. [Google Scholar] Wang, H.; Lin, G.; Hoi, S.C.; Miao, C. Learning structural ...