Abstract: Objects in remote sensing images exhibit diverse orientations. Current oriented object detection (OOD) methods estimate the object angle by designing different loss functions and bounding ...

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 ...

Token-Oriented Object Notation is a compact, human-readable format designed for passing structured data to Large Language Models with significantly reduced token usage. It's intended for LLM input, ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages developers still use daily, and what they’re good for. The computer revolution has ...