From ed56aa3f7c28fb826d15d111b91ece4dd3265c03 Mon Sep 17 00:00:00 2001 From: albanie Date: Thu, 7 Sep 2017 10:09:13 +0100 Subject: [PATCH] mods --- README.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/README.md b/README.md index a19f471..39604d8 100644 --- a/README.md +++ b/README.md @@ -12,6 +12,17 @@ Jie Hu, Li Shen, Gang Sun, arxiv 2017 This code is based on the [original](https://github.com/hujie-frank/SENet) implementation (which uses caffe). +### Pretrained Models + +Each of the Squeeze-and-Excitation networks released by the authors has been imported into MatConvNet and can be downloaded here: + +[SE Networks](http://www.robots.ox.ac.uk/~albanie/models.html#se-models) + +The `run_se_benchmarks.m` script will evaluate each of these models on the ImageNet validation set. It will download the models automatically if you have not already done so (note that these evaluations require a copy of the imagenet data). + +The result of this evaluation for each pretrained model can be found [here](http://www.robots.ox.ac.uk/~albanie/models.html#se-models). + + ### Installation The easiest way to use this module is to install it with the `vl_contrib`