A semantically driven self-supervised algorithm for detecting anomalies in image sets
Bradley J. Wheeler, Hassan A. Karimi
Topics & Concepts
Anomaly detectionComputer scienceArtificial intelligenceSet (abstract data type)Pattern recognition (psychology)Semantic gapImage (mathematics)Anomaly (physics)Supervised learningAlgorithmMachine learningImage retrievalArtificial neural networkCondensed matter physicsProgramming languagePhysicsAnomaly Detection Techniques and ApplicationsDomain Adaptation and Few-Shot LearningArtificial Immune Systems Applications