A Survey on Vision Mamba: Models, Applications and Challenges

arXiv:2404.18861v1 Announce Type: new
Abstract: Mamba, a recent selective structured state space model, performs excellently on long sequence modeling tasks. Mamba mitigates the modeling constraints of convolutional neural networks and offers advanced modeling capabilities similar to those of Transformers, through global receptive fields and dynamic weighting. Crucially, it achieves this without incurring the quadratic computational complexity typically associated with Transformers. Due to its advantages over the former two mainstream foundation models, Mamba exhibits great potential to be a visual foundation …

applications arxiv challenges cs.cv mamba survey type vision