Abstract: Aiming at the challenges of dynamic occlusion and multi-scale target recognition in self-driving urban scenes, this paper proposes a dual-path enhanced DeepLabv3+ semantic segmentation model ...

Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...

Abstract: Multimodal remote sensing data substantially enhance semantic segmentation accuracy by providing complementary information across sensing modalities. However, fully exploiting and ...