Abstract: In recent years, the significant success of deep learning (DL) in computer vision has contributed to its continuous development in the field of hyperspectral image (HSI) anomaly detection ...
CL-BioGAN: Biologically Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection
Abstract: The memory stability and learning flexibility in continual learning (CL) is a core challenge for cross-scene hyperspectral anomaly detection (HAD) task. Biological neural networks can ...
Architecture-agnostic middleware that gives any chess engine an emotional state. A continuous psyche score (ψ ∈ [−100, +100]) tracks position quality move-by-move and drives a five-stage ...
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