GSCNet with FDAM and SGCM modules plus the URTF benchmark improves fine-grained semantic segmentation on unaligned UAV RGBT images.
SAGRNet: A novel object-based graph convolutional neural network for diverse vegetation cover classification in remotely-sensed imagery
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Graph-based Semantic Calibration Network for Unaligned UAV RGBT Image Semantic Segmentation and A Large-scale Benchmark
GSCNet with FDAM and SGCM modules plus the URTF benchmark improves fine-grained semantic segmentation on unaligned UAV RGBT images.