Oct. 17, 2022, 1:15 a.m. | Weiming Li, Lihui Xue, Xueqian Wang, Gang Li

cs.CV updates on arXiv.org arxiv.org

For the task of change detection (CD) in remote sensing images, deep
convolution neural networks (CNNs)-based methods have recently aggregated
transformer modules to improve the capability of global feature extraction.
However, they suffer degraded CD performance on small changed areas due to the
simple single-scale integration of deep CNNs and transformer modules. To
address this issue, we propose a hybrid network based on multi-scale
CNN-transformer structure, termed MCTNet, where the multi-scale global and
local information are exploited to enhance the …

arxiv change cnn detection images network remote scale sensing transformer

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