Published May 27, 2016 | Version v1
Dataset Open

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

Creators

  • 1. University of Cambridge

Description

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

cifarma.csv

Files (1.8 GB)

Name Size Download all
md5:6fd186ebfe1a42dbd9b915059e69dcf3
268 Bytes Preview Download
md5:af40431b50fb40004320e2efcee40a24
269 Bytes Preview Download
md5:bf239b522aabb74f4b258aa771e6d650
378 Bytes Preview Download
md5:063da3c37756f8d6dbd59f8f3a21ff80
125.5 MB Download
md5:869893b6c61edd60e7cbd3c490baa44b
126.2 MB Download
md5:113fdee8ec9aa387f2571c54959ffdd3
99.0 MB Download
md5:c53936412c5d1e114be2c1a1a216d87d
198.9 MB Download
md5:74d2fab3e294f5dfca524a758fbd9372
234.8 MB Download
md5:e976ff31072ba0609dd3282b9472f566
204.6 MB Download
md5:d5a5bcd48705d6ab21866e979b1b2dac
277.8 MB Download
md5:52cc0ac04cba071cd0c03260c580dd9c
274.5 MB Download
md5:600c86bca2daf186aff0deab78037467
222.1 MB Download
md5:afd265b863da0ebe332c270428d31d4b
7.5 MB Download
md5:0b288881b8c147631098740cae7336c4
3.0 MB Download
md5:db029668753d88072adf24fdb2874064
3.4 MB Download
md5:faa212ad18fa71844e35f52164397031
762 Bytes Preview Download

Additional details

Related works

Is supplement to
arXiv:1511.06744 (arXiv)