Abstract: Learning object affordances is an effective tool in the field of robot learning. While the data-driven models investigate affordances of single or paired objects, there is a gap in the ...

Abstract: Recently, remote sensing object detection (RSOD) has attracted increasing attention. Despite advancements in existing methods, challenges like high computational costs, large object scale ...