Shaoxiong Lin

Dynamic Sparse Encoding and Cross-Temporal Attention for Remote Sensing Image Change Detection

Due to the inherent inductive bias of operations, convolutional neural networks (CNN) cannot model global information of remote sensing (RS) images. In contrast, Transformer-based methods can establish long-range dependencies of images through self-attention (SA) mechanism, but it faces the challeng…