Training Compact CNNs for Image Classification Using Dynamic-Coded Filter Fusion

The mainstream approach for filter pruning is usually either to force a hard-coded importance estimation upon a computation-heavy pretrained model to select "important" filters, or to impose a hyperparameter-sensitive sparse constraint on the loss objective to regularize the network traini...

Description complète

Détails bibliographiques
Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 8 vom: 22. Aug., Seite 10478-10487
Auteur principal: Lin, Mingbao (Auteur)
Autres auteurs: Chen, Bohong, Chao, Fei, Ji, Rongrong
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article