diff --git a/modules/dnn/perf/perf_net.cpp b/modules/dnn/perf/perf_net.cpp
index d06689a7fb..54388fda34 100644
--- a/modules/dnn/perf/perf_net.cpp
+++ b/modules/dnn/perf/perf_net.cpp
@@ -124,8 +124,7 @@ PERF_TEST_P_(DNNTestNetwork, SSD)
 PERF_TEST_P_(DNNTestNetwork, OpenFace)
 {
     if (backend == DNN_BACKEND_HALIDE ||
-        (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_OPENCL_FP16) ||
-        (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
+       (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_MYRIAD))
         throw SkipTestException("");
     processNet("dnn/openface_nn4.small2.v1.t7", "", "",
             Mat(cv::Size(96, 96), CV_32FC3));
diff --git a/modules/dnn/src/layers/lrn_layer.cpp b/modules/dnn/src/layers/lrn_layer.cpp
index f34faff338..145793959b 100644
--- a/modules/dnn/src/layers/lrn_layer.cpp
+++ b/modules/dnn/src/layers/lrn_layer.cpp
@@ -92,7 +92,7 @@ public:
     {
         return backendId == DNN_BACKEND_OPENCV ||
                backendId == DNN_BACKEND_HALIDE ||
-               (backendId == DNN_BACKEND_INFERENCE_ENGINE && (preferableTarget != DNN_TARGET_MYRIAD || type == CHANNEL_NRM));
+               backendId == DNN_BACKEND_INFERENCE_ENGINE;
     }
 
 #ifdef HAVE_OPENCL
diff --git a/modules/dnn/src/layers/normalize_bbox_layer.cpp b/modules/dnn/src/layers/normalize_bbox_layer.cpp
index 8e21f116e4..59319d0db1 100644
--- a/modules/dnn/src/layers/normalize_bbox_layer.cpp
+++ b/modules/dnn/src/layers/normalize_bbox_layer.cpp
@@ -67,14 +67,10 @@ public:
         {
             if (pnorm != 2)
                 return false;
-            if (!blobs.empty())
-                return true;
-            if (preferableTarget == DNN_TARGET_MYRIAD)
-                return !acrossSpatial;
-            return startAxis == 1 && (!acrossSpatial || endAxis > 1);
+
+            return preferableTarget == DNN_TARGET_MYRIAD ? !acrossSpatial : startAxis == 1;
         }
-        else
-            return backendId == DNN_BACKEND_OPENCV;
+        return backendId == DNN_BACKEND_OPENCV;
     }
 
     bool getMemoryShapes(const std::vector<MatShape> &inputs,
diff --git a/modules/dnn/src/layers/resize_layer.cpp b/modules/dnn/src/layers/resize_layer.cpp
index d5ab1acd6e..b890f9c9cd 100644
--- a/modules/dnn/src/layers/resize_layer.cpp
+++ b/modules/dnn/src/layers/resize_layer.cpp
@@ -54,12 +54,11 @@ public:
 #ifdef HAVE_INF_ENGINE
         if (backendId == DNN_BACKEND_INFERENCE_ENGINE)
         {
-            return (interpolation == "nearest" && preferableTarget != DNN_TARGET_MYRIAD) ||
+            return (interpolation == "nearest" && scaleWidth == scaleHeight) ||
                    (interpolation == "bilinear" && INF_ENGINE_VER_MAJOR_GE(INF_ENGINE_RELEASE_2018R4));
         }
-        else
 #endif
-            return backendId == DNN_BACKEND_OPENCV;
+        return backendId == DNN_BACKEND_OPENCV;
     }
 
     virtual void finalize(InputArrayOfArrays inputs_arr, OutputArrayOfArrays outputs_arr) CV_OVERRIDE
diff --git a/modules/dnn/test/test_tf_importer.cpp b/modules/dnn/test/test_tf_importer.cpp
index 7ddda7f03a..b722ffc964 100644
--- a/modules/dnn/test/test_tf_importer.cpp
+++ b/modules/dnn/test/test_tf_importer.cpp
@@ -558,8 +558,6 @@ TEST_P(Test_TensorFlow_layers, split)
 
 TEST_P(Test_TensorFlow_layers, resize_nearest_neighbor)
 {
-    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target != DNN_TARGET_MYRIAD)
-        throw SkipTestException("");
     runTensorFlowNet("resize_nearest_neighbor");
     runTensorFlowNet("keras_upsampling2d");
 }
diff --git a/modules/dnn/test/test_torch_importer.cpp b/modules/dnn/test/test_torch_importer.cpp
index 046bd65b86..547e9f775e 100644
--- a/modules/dnn/test/test_torch_importer.cpp
+++ b/modules/dnn/test/test_torch_importer.cpp
@@ -277,8 +277,6 @@ TEST_P(Test_Torch_nets, OpenFace_accuracy)
         throw SkipTestException("");
 #endif
     checkBackend();
-    if (backend == DNN_BACKEND_INFERENCE_ENGINE && target == DNN_TARGET_OPENCL_FP16)
-        throw SkipTestException("");
 
     const string model = findDataFile("dnn/openface_nn4.small2.v1.t7", false);
     Net net = readNetFromTorch(model);