AI RESEARCH
Mamba2D: A Natively Multi-Dimensional State-Space Model for Vision Tasks
arXiv CS.CV
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ArXi:2412.16146v3 Announce Type: replace State-Space Models (SSMs) have emerged as an efficient alternative to transformers, yet existing visual SSMs retain deeply ingrained biases from their origins in natural language processing. In this paper, we address these limitations by