On Implicit Filter Level Sparsity in Convolutional Neural Networks

Mehta, Dushyant; Kim, Kwang In; Theobalt, Christian

doi:10.1109/CVPR.2019.00061

Item

ITEM ACTIONSEXPORT

Add to Basket

Please note that a newer version of this item is available:
https://pure.mpg.de/pubman/item/item_3187084_4

DetailsSummary

Released

Conference Paper

On Implicit Filter Level Sparsity in Convolutional Neural Networks

MPS-Authors

/persons/resource/persons129023

Mehta, Dushyant
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45610

Theobalt, Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

Mehta_On_Implicit_Filter_Level_Sparsity_in_Convolutional_Neural_Networks_CVPR_2019_paper.pdf
(Preprint), 2MB

Supplementary Material (public)

There is no public supplementary material available

Citation

Mehta, D., Kim, K. I., & Theobalt, C. (2019). On Implicit Filter Level Sparsity in Convolutional Neural Networks. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 520-528). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2019.00061.

Cite as: https://hdl.handle.net/21.11116/0000-0005-7CB8-1

Abstract

There is no abstract available