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Abstract: Semantic segmentation of high-resolution remote sensing images (RSIs) remains challenging due to the degradation of high-frequency (HF) semantic cues during convolutional encoding and the ...
Abstract: Visible–infrared remote sensing object detection aims to achieve all-weather object detection by leveraging the complementary information from paired visible and infrared (RGB–IR) images.
Our method achieves fast⚡️ and robust⛷️ dynamic-static decomposition based on 3D/4D gaussian splatting for a wide range of inputs as long egocentric videos, image collections, multi-view/monocular ...