Dataset Open Access

Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models

Ioannou, Yani

Models from experiments referenced in the paper "Training CNNs with Low-Rank Filters for Efficient Image Classification", https://arxiv.org/abs/1511.06744

Model names differ from those in the paper, but the csv files for each set of experiments relates the paper's name for the model and the real name of the model here:

  • cifarma.csv: Network-in-Network CIFAR10 Models
  • mitma.csv: MIT Places Models
  • googlenetma.csv: GoogLeNet ILSVRC2012 Models
  • vggma.csv: VGG-11 ILSVRC2012 Models

 

 

Files (1.8 GB)
Name Size
cifarma.csv
md5:6fd186ebfe1a42dbd9b915059e69dcf3 		268 Bytes Download
googlenetma.csv
md5:af40431b50fb40004320e2efcee40a24 		269 Bytes Download
mitma.csv
md5:bf239b522aabb74f4b258aa771e6d650 		378 Bytes Download
msrc-googlenet-sf-conv1sf.tar.gz
md5:063da3c37756f8d6dbd59f8f3a21ff80 		125.5 MB Download
msrc-googlenet-sf.tar.gz
md5:869893b6c61edd60e7cbd3c490baa44b 		126.2 MB Download
msrc-vgg-11-ns-inv-sf-all-conv5-512-32.tar.gz
md5:113fdee8ec9aa387f2571c54959ffdd3 		99.0 MB Download
msrc-vgg-11-ns-inv-sf-conv5-512-lde-conv1-3-stride2.tar.gz
md5:c53936412c5d1e114be2c1a1a216d87d 		198.9 MB Download
msrc-vgg-11-ns-inv-sf-full-latelr.tar.gz
md5:74d2fab3e294f5dfca524a758fbd9372 		234.8 MB Download
msrc-vgg-11-ns-inv-sf-full-ninjoinlayer-conv5-512.tar.gz
md5:e976ff31072ba0609dd3282b9472f566 		204.6 MB Download
msrc-vgg-11-ns-inv-sf-ninjoinlayer-fixed.tar.gz
md5:d5a5bcd48705d6ab21866e979b1b2dac 		277.8 MB Download
msrc-vgg-11-ns-latelr2.tar.gz
md5:52cc0ac04cba071cd0c03260c580dd9c 		274.5 MB Download
msrc-vgg-11-seqsf-gmp.tar.gz
md5:600c86bca2daf186aff0deab78037467 		222.1 MB Download
nin_cifar10_mirror_crop.tar.gz
md5:afd265b863da0ebe332c270428d31d4b 		7.5 MB Download
nin_cifar10_mirror_crop_conv1_3_conv2_2x3.tar.gz
md5:0b288881b8c147631098740cae7336c4 		3.0 MB Download
nin_cifar10_mirror_crop_sf_conv1_3_conv2_2x3.tar.gz
md5:db029668753d88072adf24fdb2874064 		3.4 MB Download
vggma.csv
md5:faa212ad18fa71844e35f52164397031 		762 Bytes Download
66
15
views
downloads
All versions This version
Views 6666
Downloads 1515
Data volume 3.0 MB3.0 MB
Unique views 6666
Unique downloads 1111
More info on how stats are collected.
Indexed in
Publication date:
May 27, 2016
DOI:
10.5281/zenodo.53189

Zenodo DOI Badge

DOI 

10.5281/zenodo.53189

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.53189.svg)](https://doi.org/10.5281/zenodo.53189)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.53189.svg
   :target: https://doi.org/10.5281/zenodo.53189

HTML 

<a href="https://doi.org/10.5281/zenodo.53189"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.53189.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.53189.svg

Target URL 

https://doi.org/10.5281/zenodo.53189

Keyword(s):
Deep Learning Machine Learning Computer Vision ILSVRC Low-Rank Neural Networks Convolutional Neural Networks
Meeting:
International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, May 2 - 4th, 2016
Related identifiers:
Supplement to:
arXiv:1511.06744
License (for files):
Creative Commons Attribution-NonCommercial 4.0

Versions

Version 1 10.5281/zenodo.53189 May 27, 2016
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.635057. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export