Update README.md

Author: wang-xinyu

senet/README.md

@@ -1,23 +1,20 @@
-# mobilenet v2
+# SENet
 
-MobileNetV2 architecture from
-     "MobileNetV2: Inverted Residuals and Linear Bottlenecks" <https://arxiv.org/abs/1801.04381>.
+An implementation of SENet, proposed in Squeeze-and-Excitation Networks by Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu
 
-For the Pytorch implementation, you can refer to [pytorchx/mobilenet](https://github.com/wang-xinyu/pytorchx/tree/master/mobilenet)
+[https://arxiv.org/abs/1709.01507](https://arxiv.org/abs/1709.01507)
 
-Following tricks are used in this mobilenet,
+For the Pytorch implementation, you can refer to [wang-xinyu/senet.pytorch](https://github.com/wang-xinyu/senet.pytorch).
 
-- Relu6 is used in mobilenet v2. We use `Relu6(x) = Relu(x) - Relu(x-6)` in tensorrt.
-- Batchnorm layer, implemented by scale layer.
 
 ```
-// 1. generate mobilenet.wts from [pytorchx/mobilenet](https://github.com/wang-xinyu/pytorchx/tree/master/mobilenet)
+// 1. generate se_resnet50.wts from [wang-xinyu/senet.pytorch](https://github.com/wang-xinyu/senet.pytorch)
 
-// 2. put mobilenet.wts into tensorrtx/mobilenet
+// 2. put se_resnet50.wts into tensorrtx/senet
 
 // 3. build and run
 
-cd tensorrtx/mobilenet
+cd tensorrtx/senet
 
 mkdir build
 
@@ -27,11 +24,10 @@ cmake ..
 
 make
 
-sudo ./mobilenet -s   // serialize model to plan file i.e. 'mobilenet.engine'
+sudo ./se_resnet -s   // serialize model to plan file i.e. 'se_resnet50.engine'
 
-sudo ./mobilenet -d   // deserialize plan file and run inference
+sudo ./se_resnet -d   // deserialize plan file and run inference
 
-// 4. see if the output is same as pytorchx/mobilenet
+// 4. see if the output is same as [wang-xinyu/senet.pytorch]
 ```
 
-