A new publicly released drone dataset with multi-altitude urban imagery, 15-class annotations, and pose metadata enables benchmarking of altitude-dependent semantic segmentation.
Encoder-decoder with atrous separable convolution for semantic image segmentation
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MESSI: A Multi-Elevation Semantic Segmentation Image Dataset of an Urban Environment
A new publicly released drone dataset with multi-altitude urban imagery, 15-class annotations, and pose metadata enables benchmarking of altitude-dependent semantic segmentation.