Abstract: Salient object detection in optical remote sensing images (ORSIs-SOD) often relies on leveraging pretrained knowledge from natural images to achieve high accuracy with limited training data.
InstructSAM is a training-free framework for Instruction-Oriented Object Counting, Detection, and Segmentation (InstructCDS). We construct EarthInstruct, an InstructCDS benchmark for remote sensing.
We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...
Abstract: The land surface temperature (LST) downscaling is a valuable technique for obtaining high-spatiotemporal resolution LST data. By incorporating object-level or pixel-level residuals, the ...
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