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Found 2 papers, 1 papers with code
Knowledge Navigation: Inferring the Interlocking Map of Knowledge from Research Trajectories
"If I have seen further, it is by standing on the shoulders of giants," Isaac Newton's renowned statement hints that new knowledge builds upon existing foundations, which means there exists an interdependent relationship between knowledge, which, yet uncovered, is implied in the historical development of scientific systems for hundreds of years.
Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders
Autoencoder and its variants have been widely applicated in anomaly detection. The previous work memory-augmented deep autoencoder proposed memorizing normality to detect anomaly, however it neglects the feature discrepancy between different resolution scales, therefore we introduce multi-scale memories to record scale-specific features and multi-scale attention fuser between the encoding and decoding module of the autoencoder for anomaly detection, namely MMAE. MMAE updates slots at corresponding resolution scale as prototype features during unsupervised learning.
