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Found 2 papers, 2 papers with code
Loss Switching Fusion with Similarity Search for Video Classification
We define our classification problem as classifying background and foreground motions using the same feature representation for outdoor scenes.
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
At the test stage, the learned memory will be fixed, and the reconstruction is obtained from a few selected memory records of the normal data.
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