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Zhao-Ning Shi

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Preprint Aug 2026

CODE: Cross-Modal Calibration and Dynamic Suppression for Open World Object Detection

Open World Object Detection (OWOD) built on multimodal foundation models often suffers from semantic ambiguity caused by unidirectional text-to-vision matching, while rigid outlier penalties may over-suppress unknown objects near known-class decision boundaries. We propose CODE (Cross-Modal Calibration and Dynamic Supp...

Hao Xu, Zhao-Ning Shi, Heng-Yu Jin et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Reading Decoder Trajectories: Training-Free Counterfactual Query-Trajectory Reliability for Small-Object Detection

A training-free framework that elicits latent responses through counterfactual scale interventions and interprets candidate reliability from decoder-internal spatial convergence, semantic persistence, and cross-scale conflicts is proposed, which consistently improves average precision and average precision for small ob...

Zhao-Ning Shi, Bo Ma · 0 citations

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