Soft-hard equivalence in circular scaled graph containment bypasses computational constraints for feedback stability, while hyperbolically convex conics yield tighter bounds for nonsymmetric cases.
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MuSc-V2 introduces a mutual scoring framework that exploits similarity among normal patches in 2D and 3D modalities to detect isolated anomalies without labeled samples.
A trajectory smoothing method for UAVs based on Dubins airplane model decoupling, spatial modeling, and linear programming for roll control.
citing papers explorer
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Scaled Graph Containment for Feedback Stability: Soft-Hard Equivalence and Conic Regions
Soft-hard equivalence in circular scaled graph containment bypasses computational constraints for feedback stability, while hyperbolically convex conics yield tighter bounds for nonsymmetric cases.
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MuSc-V2: Zero-Shot Multimodal Industrial Anomaly Classification and Segmentation with Mutual Scoring of Unlabeled Samples
MuSc-V2 introduces a mutual scoring framework that exploits similarity among normal patches in 2D and 3D modalities to detect isolated anomalies without labeled samples.
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Simple Trajectory Smoothing for UAV Reference Path Planning Based on Decoupling, Spatial Modeling and Linear Programming
A trajectory smoothing method for UAVs based on Dubins airplane model decoupling, spatial modeling, and linear programming for roll control.