Abstract: Open-set object detection (OSOD) is an important research direction in computer vision, focusing on enhancing a model’s ability to detect unknown categories. Current methods are overly ...
//! Q = current phase (per-group mean), K = previous phase, V = amplitude. //! Attention score per tile: Q[i]*K[i]/sqrt(d), then softmax normalization. //! Tracks ...
//! reflects RF energy while producing less phase dispersion than diffuse tissue. //! Events: METAL_ANOMALY(220), WEAPON_ALERT(221), CALIBRATION_NEEDED(222 ...
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