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A Transformer-Based Siamese Network for Change Detection. (arXiv:2201.01293v1 [cs.CV])
Jan. 5, 2022, 2:10 a.m. | Wele Gedara Chaminda Bandara, Vishal M. Patel
cs.CV updates on arXiv.org arxiv.org
This paper presents a transformer-based Siamese network architecture
(abbreviated by ChangeFormer) for Change Detection (CD) from a pair of
co-registered remote sensing images. Different from recent CD frameworks, which
are based on fully convolutional networks (ConvNets), the proposed method
unifies hierarchically structured transformer encoder with Multi-Layer
Perception (MLP) decoder in a Siamese network architecture to efficiently
render multi-scale long-range details required for accurate CD. Experiments on
two CD datasets show that the proposed end-to-end trainable ChangeFormer
architecture achieves better CD …
More from arxiv.org / cs.CV updates on arXiv.org
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