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Found 4 papers, 1 papers with code
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
Most models for weakly supervised video anomaly detection (WS-VAD) rely on multiple instance learning, aiming to distinguish normal and abnormal snippets without specifying the type of anomaly.
Video Frame Interpolation with Region-Distinguishable Priors from SAM
In existing Video Frame Interpolation (VFI) approaches, the motion estimation between neighboring frames plays a crucial role.
Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance
First, a depth-aware feature extraction module is designed to inject depth priors into the image representation.
Dynamic Relevance Learning for Few-Shot Object Detection
By adjusting the prediction distribution of the base detector using the output of this GCN, the proposed model serves as a hard auxiliary classification task, which guides the detector to improve the class representation implicitly.
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