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Found 4 papers, 1 papers with code
Learning Appearance-motion Normality for Video Anomaly Detection
Video anomaly detection is a challenging task in the computer vision community.
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model
The results of the experiments support the advantages of our method.
Supplementing Missing Visions via Dialog for Scene Graph Generations
Most current AI systems rely on the premise that the input visual data are sufficient to achieve competitive performance in various computer vision tasks.
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
To solve the problem, we propose a multi-modality feature fusion network to combine the modalities of the skeleton sequence and RGB frame instead of the RGB video, as the key information contained by the combination of skeleton sequence and RGB frame is close to that of the skeleton sequence and RGB video.
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