SIR-HCL: Semantic-Inconsistency Reasoning and Hybrid Contrastive Learning for Efficient Cross-Emotion Anomaly Detection

Keyphrases

• Anomaly Detection 100%
• Contrastive Learning 100%
• Learning Semantics 100%
• Semantic Inconsistency 100%
• Benchmark Dataset 20%
• Detection Method 20%
• Two-component 20%
• Learning Methods 20%
• Audio 20%
• Learning Approaches 20%
• Learning Scheme 20%
• Deception Detection 20%
• Criminal 20%
• Semantic Consistency 20%
• Autistic children 20%
• Emotional Words 20%
• Feature Correlation 20%
• Data Utilization 20%
• Emotional Data 20%
• Semantic Patterns 20%
• Residual Block 20%
• Bidirectional Learning 20%
• Emotional Modality 20%
• Cognitive Analysis 20%
• Beta Mixture Model 20%
• Child Diagnosis 20%
• Dual-branch Network 20%
• Audio-visual Emotion 20%
• Cognitive Applications 20%

Computer Science

• Anomaly Detection 100%
• Contrastive Learning 100%
• Research Topic 20%
• Learning Approach 20%
• Learning Scheme 20%
• Semantic Consistency 20%
• Cognitive Analysis 20%