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Binyi Su

2 accepted papers

2026

OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection

ICML 2026poster

Zero-shot out-of-vocabulary detection (ZS-OOVD) aims to accurately recognize objects of in-vocabulary (IV) categories provided at zero-shot inference, while simultaneously rejecting undefined ones (out-of-vocabulary, OOV) that lack corresponding category prompts. However, previous methods are prone …

Cited by 0SourceScholar
2025

Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary

IJCAI 2025

Few-shot Open-set Object Detection (FOOD) poses a challenge in many open-world scenarios. It aims to train an open-set detector to detect known objects while rejecting unknowns with scarce training samples. Existing FOOD methods are subject to limited visual information, and often exhibit an ambiguo