mods

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`