Abstract: Oriented object detection refers to the process of using oriented bounding boxes to localize and identify objects. Oriented R-CNN is a classic oriented two-stage detection method, which is ...
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, ...
Abstract: In daily domestic settings, frequently used objects like cups often have unfixed positions and multiple instances within the same category, and their carriers also frequently change. As a ...
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