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#machine learning Preprint Sep 2026

Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection

This work proposes Vague2Detect, a hybrid pipeline in which a fine-tuned Sentence-BERT retrieves candidates from a structured household Knowledge Base, and YOLO-World verifies their presence in the image, and improves performance to 61% VPSR with high precision, and up to 85% when augmented with GPT fallback.

Ibrohimjon Muminov, Jihie Kim Dongguk University, Seoul et al. · 0 citations