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Politecnico di Milano, AIRLab, Milan, Italy
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Current multimodal anomaly detection models are misrepresented by existing benchmarks, showing only superficial reliance on text guidance in decision-making.
Finally, a feed-forward method cracks dynamic 3D scene reconstruction from multi-view video without needing camera poses, opening the door to real-time applications.