C3D-AD enables class-incremental 3D anomaly detection by combining random-feature kernel attention, a learnable advisor memory, and perturbation-based representation consistency.
Q.; Su, H.; Kaichun, M.; and Guibas, L
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C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
C3D-AD enables class-incremental 3D anomaly detection by combining random-feature kernel attention, a learnable advisor memory, and perturbation-based representation consistency.