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arXiv Computer Vision By Jinlong Hu, Yi Zhang, Zhiqi Xia, Yikang Zhou, Shunping Ji

Hi-OPD: Hierarchy-Aware Open-Prompt Detection for Remote Sensing Images

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Hi-OPD introduces a hierarchy‑aware open‑prompt detector for remote sensing images, addressing inconsistencies that arise when flat open‑prompt training fails to maintain descendant retrieval under ancestor queries. Using a large RS153‑HierOPD dataset with 175,644 images and 3.48M boxes mapped to 153 atomic categories, Hi‑OPD employs hierarchy‑safe negative sampling, path multi‑positive supervision, and one‑way upward consistency to learn ancestor retrieval. The method achieves state‑of‑the‑art AP50 scores on DIOR and DOTA‑v2.0, significantly improves parent and grandparent AP50 metrics, and attains near‑perfect CAR50 across multiple sources.

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