diff --git a/lib/networks/Resnet50_test.py b/lib/networks/Resnet50_test.py
index 19fb727..b53ad27 100644
--- a/lib/networks/Resnet50_test.py
+++ b/lib/networks/Resnet50_test.py
@@ -209,7 +209,7 @@ def setup(self):
 
         #========= RCNN ============        
         (self.feed('res4f_relu','rois')
-        	 .roi_pool(7,7,1.0/16,name='res5a_branch2a_roipooling')
+        	 .roi_pool(14,14,1.0/16,name='res5a_branch2a_roipooling')
              .conv(1, 1, 512, 2, 2, biased=False, relu=False, name='res5a_branch2a', padding='VALID')
              .batch_normalization(relu=True, name='bn5a_branch2a',is_training=False)
              .conv(3, 3, 512, 1, 1, biased=False, relu=False, name='res5a_branch2b')
@@ -247,9 +247,10 @@ def setup(self):
                    'bn5c_branch2c')
              .add(name='res5c')
              .relu(name='res5c_relu')
+             .avg_pool(7, 7, 1, 1, padding='VALID', name='pool5')
              .fc(n_classes, relu=False, name='cls_score')
              .softmax(name='cls_prob'))
 
 
-        (self.feed('res5c_relu')
-             .fc(n_classes*4, relu=False, name='bbox_pred'))
\ No newline at end of file
+        (self.feed('pool5')
+             .fc(n_classes*4, relu=False, name='bbox_pred'))
diff --git a/lib/networks/Resnet50_train.py b/lib/networks/Resnet50_train.py
index bdf58a7..708b63c 100644
--- a/lib/networks/Resnet50_train.py
+++ b/lib/networks/Resnet50_train.py
@@ -220,7 +220,7 @@ def setup(self):
 
         #========= RCNN ============        
         (self.feed('res4f_relu','roi-data')
-             .roi_pool(7,7,1.0/16,name='res5a_branch2a_roipooling')
+             .roi_pool(14,14,1.0/16,name='res5a_branch2a_roipooling')
              .conv(1, 1, 512, 2, 2, biased=False, relu=False, name='res5a_branch2a', padding='VALID')
              .batch_normalization(relu=True, name='bn5a_branch2a',is_training=False)
              .conv(3, 3, 512, 1, 1, biased=False, relu=False, name='res5a_branch2b')
@@ -257,8 +257,9 @@ def setup(self):
         	       'bn5c_branch2c')
              .add(name='res5c')
              .relu(name='res5c_relu')
+             .avg_pool(7, 7, 1, 1, padding='VALID', name='pool5')
              .fc(n_classes, relu=False, name='cls_score')
              .softmax(name='cls_prob'))
 
-        (self.feed('res5c_relu')
+        (self.feed('pool5')
              .fc(n_classes*4, relu=False, name='bbox_pred'))