Search Results for author:
Found 2 papers, 1 papers with code
Multi-scale Feature Imitation for Unsupervised Anomaly Localization
The unsupervised anomaly localization task faces the challenge of missing anomaly sample training, detecting multiple types of anomalies, and dealing with the proportion of the area of multiple anomalies.
Normal Learning in Videos with Attention Prototype Network
With models trained on the normal data, the reconstruction errors of anomalous scenes are usually much larger than those of normal ones.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
