Litcius/Paper detail

An optimal-score-based filter pruning for deep convolutional neural networks

Shrutika S. Sawant, J. Bauer, Franciskus Xaverius Erick, Subodh Ingaleshwar, Nina Holzer, Andreas Ramming, Elmar W. Lang, T. Götz

2022Applied Intelligence19 citationsDOI

Topics & Concepts

Computer scienceSegmentationConvolutional neural networkArtificial intelligenceBenchmark (surveying)FLOPSDeep learningInferencePruningPattern recognition (psychology)Filter (signal processing)Feature (linguistics)Artificial neural networkComputationSimilarity (geometry)Machine learningImage (mathematics)Computer visionAlgorithmBiologyParallel computingPhilosophyAgronomyLinguisticsGeodesyGeographyAdvanced Neural Network ApplicationsAdvanced Technologies in Various FieldsFlood Risk Assessment and Management
An optimal-score-based filter pruning for deep convolutional neural networks | Litcius