Author

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

Small-object detection remains challenging because limited pixels cause information loss and suppress the scale knowledge encoded in pretrained detectors. Existing approaches mainly improve representations through multiscale training, architecture redesign, or parameter adaptation, implicitly assuming that frozen model...

Zhao-Ning Shi, Bo Ma · 0 citations