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An optimal-score-based filter pruning for deep convolutional neural networks
Sawant, Shrutika S., Bauer, J., Erick, F. X., Ingaleshwar, Subodh, Holzer, N., Ramming, A., Lang, E. W. and Götz, Th. (2022) An optimal-score-based filter pruning for deep convolutional neural networks. Applied Intelligence 52 (15), pp. 17557-17579.Date of publication of this fulltext: 29 Feb 2024 12:53
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| Item type | Article | ||||
| Journal or Publication Title | Applied Intelligence | ||||
| Publisher: | Springer | ||||
|---|---|---|---|---|---|
| Place of Publication: | DORDRECHT | ||||
| Volume: | 52 | ||||
| Number of Issue or Book Chapter: | 15 | ||||
| Page Range: | pp. 17557-17579 | ||||
| Date | 2022 | ||||
| Institutions | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang | ||||
| Identification Number |
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| Keywords | SEGMENTATION; CNN; Deep learning; Filter pruning; Image segmentation; Model compression; Redundancy | ||||
| Dewey Decimal Classification | 500 Science > 530 Physics 500 Science > 570 Life sciences | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 57293 |
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