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Found 3 papers, 2 papers with code
Context-aware Video Anomaly Detection in Long-Term Datasets
Here, we propose a context-aware video anomaly detection algorithm, Trinity, specifically targeted to these scenarios.
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Tremendous progress has been made in visual representation learning, notably with the recent success of self-supervised contrastive learning methods.
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Moreover, our temporal semi-soft and hard attention modules, calculating two attention scores for each video snippet, help to focus on the less discriminative frames of an action to capture the full action boundary.
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