ChangeMamba: Remote Sensing Change Detection with Spatio-Temporal State Space Model

arXiv:2404.03425v1 Announce Type: cross
Abstract: Convolutional neural networks (CNN) and Transformers have made impressive progress in the field of remote sensing change detection (CD). However, both architectures have their inherent shortcomings. Recently, the Mamba architecture, based on spatial state models, has shown remarkable performance in a series of natural language processing tasks, which can effectively compensate for the shortcomings of the above two architectures. In this paper, we explore for the first time the potential of the Mamba architecture for …

arxiv change cs.ai cs.cv detection eess.iv sensing space state state space model temporal type