GAViD is a new multimodal video dataset for context-aware group affect recognition, with CAGNet reaching 63.20% test accuracy comparable to prior state-of-the-art.
An- alyzing Group-Level Emotion With Global Alignment Kernel Based Approach
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GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos
GAViD is a new multimodal video dataset for context-aware group affect recognition, with CAGNet reaching 63.20% test accuracy comparable to prior state-of-the-art.