Feb. 13, 2024, 5:48 a.m. | Kaiyu Li Xiangyong Cao Deyu Meng

cs.CV updates on arXiv.org arxiv.org

Change detection (CD) is a critical task to observe and analyze dynamic processes of land cover. Although numerous deep learning-based CD models have performed excellently, their further performance improvements are constrained by the limited knowledge extracted from the given labelled data. On the other hand, the foundation models that emerged recently contain a huge amount of knowledge by scaling up across data modalities and proxy tasks. In this paper, we propose a Bi-Temporal Adapter Network (BAN), which is a universal …


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