Updated reference for inception-resnet-v2-tf model (#3220)

Author: Anna Grebneva

models/public/inception-resnet-v2-tf/README.md

@@ -17,8 +17,8 @@ The `inception-resnet-v2` model is one of the Inception family of models designe
 
 | Metric | Value  |
 | ------ | ------ |
-| Top 1  | 80.14% |
-| Top 5  | 95.10% |
+| Top 1  | 77.82% |
+| Top 5  | 94.03% |
 
 ## Input
 

models/public/inception-resnet-v2-tf/accuracy-check.yml

@@ -21,11 +21,11 @@ models:
           - name: accuracy@top1
             type: accuracy
             top_k: 1
-            reference: 0.8014
+            reference: 0.7782
           - name: accuracy@top5
             type: accuracy
             top_k: 5
-            reference: 0.951
+            reference: 0.9403
 
   - name: inception-resnet-v2-tf
     launchers:
@@ -43,8 +43,8 @@ models:
           - name: accuracy@top1
             type: accuracy
             top_k: 1
-            reference: 0.8014
+            reference: 0.7782
           - name: accuracy@top5
             type: accuracy
             top_k: 5
-            reference: 0.951
+            reference: 0.9403

models/public/index.md

@@ -25,7 +25,7 @@ You can download models and convert them into Inference Engine format (\*.xml +
 | Inception (GoogleNet) V2    | Caffe\*<br>TensorFlow\*            | [googlenet-v2](./googlenet-v2/README.md)<br>[googlenet-v2-tf](./googlenet-v2-tf/README.md) | 72.024%/90.844%<br>74.084%/91.798%| 4.058 | 11.185 |
 | Inception (GoogleNet) V3    | TensorFlow\*<br>PyTorch\*          | [googlenet-v3](./googlenet-v3/README.md) <br> [googlenet-v3-pytorch](./googlenet-v3-pytorch/README.md) | 77.904%/93.808%<br>77.69%/93.7% | 11.469 | 23.817 |
 | Inception (GoogleNet) V4    | TensorFlow\*                       | [googlenet-v4-tf](./googlenet-v4-tf/README.md) | 80.204%/95.21% | 24.584 | 42.648 |
-| Inception-ResNet V2         | TensorFlow\*                       | [inception-resnet-v2-tf](./inception-resnet-v2-tf/README.md) | 80.14%/95.10% | 22.227 | 30.223 |
+| Inception-ResNet V2         | TensorFlow\*                       | [inception-resnet-v2-tf](./inception-resnet-v2-tf/README.md) | 77.82%/94.03% | 22.227 | 30.223 |
 | MixNet L                    | TensorFlow\*                       | [mixnet-l](./mixnet-l/README.md)  | 78.30%/93.91% | 0.565 | 7.3 |
 | MobileNet V1 0.25 128       | Caffe\*                            | [mobilenet-v1-0.25-128](./mobilenet-v1-0.25-128/README.md)  | 40.54%/65% | 0.028 | 0.468 |
 | MobileNet V1 1.0 224        | Caffe\*<br>TensorFlow\*            | [mobilenet-v1-1.0-224](./mobilenet-v1-1.0-224/README.md)<br>[mobilenet-v1-1.0-224-tf](./mobilenet-v1-1.0-224-tf/README.md)| 69.496%/89.224%<br>71.03%/89.94% | 1.148 | 4.221 |