MambaVision employs a hierarchical architecture divided into four stages. The initial stages use CNN layers for rapid feature extraction, capitalizing on their efficiency in processing high-resolution features. The later stages incorporate MambaVision and Trans...
(2024) "Mamba-r: Vision mamba also needs registers." arXiv preprint arXiv:2405.14858 Lin Xiao, Sun Shuzhou, Huang Wei, Sheng Bin, Li Ping, Feng David Dagan (2021) EAPT: efficient attention pyramid transformer for image processing. IEEE Transactions on Multimedia 25:50–61 Article MATH ...
most existing methods rely on resource-intensive Transformer architectures, leading to significant drops in computational efficiency and performance when handling long sequence data. To address these challenges, we propose MonoMM, a Multi-scale Mamba-Enhanced network for real-time monocular 3D object dete...
This survey analyzes the unique contributions, computational benefits, and applications of Mamba models while also identifying challenges and potential future research directions. We provide a foundational resource for advancing the understanding and growth of Mamba models in computer vision. An overview of...
K. Leung, “Texture synthesis by non-parametric sampling,” in Proceedings of the seventh IEEE international conference on computer vision, vol. 2, pp. 1033–1038, IEEE, 1999. [6] P. S. Heckbert, “Survey of texture mapping,” IEEE computer graphics and applications, vol. 6, no. 11,...
Mamba addresses these limitations by leveraging Selective Structured State Space Models to effectively capture long-range dependencies with linear computational complexity. This survey analyzes the unique contributions, computational benefits, and applications of Mamba models while also identifying challenges and...
domains. Since Mamba is now on an upward trend, please actively notice us if you have new findings, and new progress on Mamba will be included in this survey in a timely manner and updated on the Mamba project at https://github.com/lx6c78/Vision-Mamba-A-Comprehensive-Survey-and-Taxonomy...
BadScan: An Architectural Backdoor Attack on Visual State Space Models The newly introduced Visual State Space Model (VMamba), which employs extit{State Space Mechanisms} (SSM) to interpret images as sequences of patches, has ... OS Deshmukh,S Nagaonkar,AM Tripathi,... 被引量: 0发表: ...
Paper tables with annotated results for Mamba in Vision: A Comprehensive Survey of Techniques and Applications
Mamba, an emerging model, is one of the most cutting-edge approaches that is widely applied to diverse vision and language tasks. To this end, this paper introduces a U-shaped deep learning model incorporating a large-window Mamba scale (LMS) module and a hierarchical feature fusion approach ...