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A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
It consists of a well pre-trained encoder to extract hierarchical feature representations and a decoder to reconstruct these intermediate features from the encoder.
Multiresolution Feature Guidance Based Transformer for Anomaly Detection
Under the tacit knowledge guidance of the AGN, the anomaly detection network named Trans utilizes Transformer to effectively establish a relationship between features with multiresolution, enhancing the ability of the Trans in fitting the normal data manifold.
SCTracker: Multi-object tracking with shape and confidence constraints
Detection-based tracking is one of the main methods of multi-object tracking.
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