diff --git a/modules/dnn/include/opencv2/dnn/dnn.hpp b/modules/dnn/include/opencv2/dnn/dnn.hpp
index 01268d7842..680e7d54d1 100644
--- a/modules/dnn/include/opencv2/dnn/dnn.hpp
+++ b/modules/dnn/include/opencv2/dnn/dnn.hpp
@@ -944,6 +944,13 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
                              CV_OUT std::vector<int>& indices,
                              const float eta = 1.f, const int top_k = 0);
 
+    /** @brief Release a Myriad device is binded by OpenCV.
+     *
+     * Single Myriad device cannot be shared across multiple processes which uses
+     * Inference Engine's Myriad plugin.
+     */
+    CV_EXPORTS_W void resetMyriadDevice();
+
 //! @}
 CV__DNN_EXPERIMENTAL_NS_END
 }
diff --git a/modules/dnn/src/op_inf_engine.cpp b/modules/dnn/src/op_inf_engine.cpp
index 85f6690790..23794a187d 100644
--- a/modules/dnn/src/op_inf_engine.cpp
+++ b/modules/dnn/src/op_inf_engine.cpp
@@ -443,13 +443,14 @@ void InfEngineBackendNet::init(int targetId)
         initPlugin(*this);
 }
 
+static std::map<InferenceEngine::TargetDevice, InferenceEngine::InferenceEnginePluginPtr> sharedPlugins;
+
 void InfEngineBackendNet::initPlugin(InferenceEngine::ICNNNetwork& net)
 {
     CV_Assert(!isInitialized());
 
     try
     {
-        static std::map<InferenceEngine::TargetDevice, InferenceEngine::InferenceEnginePluginPtr> sharedPlugins;
         auto pluginIt = sharedPlugins.find(targetDevice);
         if (pluginIt != sharedPlugins.end())
         {
@@ -589,4 +590,14 @@ void forwardInfEngine(Ptr<BackendNode>& node)
 #endif  // HAVE_INF_ENGINE
 }
 
+CV__DNN_EXPERIMENTAL_NS_BEGIN
+
+void resetMyriadDevice()
+{
+#ifdef HAVE_INF_ENGINE
+    sharedPlugins.erase(InferenceEngine::TargetDevice::eMYRIAD);
+#endif  // HAVE_INF_ENGINE
+}
+
+CV__DNN_EXPERIMENTAL_NS_END
 }}  // namespace dnn, namespace cv
diff --git a/modules/dnn/test/test_ie_models.cpp b/modules/dnn/test/test_ie_models.cpp
index 7507ea74b6..01ecb72986 100644
--- a/modules/dnn/test/test_ie_models.cpp
+++ b/modules/dnn/test/test_ie_models.cpp
@@ -177,6 +177,11 @@ TEST_P(DNNTestOpenVINO, models)
     Target target = (dnn::Target)(int)get<0>(GetParam());
     std::string modelName = get<1>(GetParam());
 
+    if (target == DNN_TARGET_MYRIAD && (modelName == "landmarks-regression-retail-0001" ||
+                                        modelName == "semantic-segmentation-adas-0001" ||
+                                        modelName == "face-reidentification-retail-0001"))
+        throw SkipTestException("");
+
     std::string precision = (target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD) ? "FP16" : "FP32";
     std::string prefix = utils::fs::join("intel_models",
                          utils::fs::join(modelName,
@@ -186,6 +191,8 @@ TEST_P(DNNTestOpenVINO, models)
 
     std::map<std::string, cv::Mat> inputsMap;
     std::map<std::string, cv::Mat> ieOutputsMap, cvOutputsMap;
+    // Single Myriad device cannot be shared across multiple processes.
+    resetMyriadDevice();
     runIE(target, xmlPath, binPath, inputsMap, ieOutputsMap);
     runCV(target, xmlPath, binPath, inputsMap, cvOutputsMap);
 
@@ -238,8 +245,8 @@ static testing::internal::ParamGenerator<Target> dnnDLIETargets()
         targets.push_back(DNN_TARGET_OPENCL_FP16);
     }
 #endif
-    //if (checkMyriadTarget())
-    //    targets.push_back(DNN_TARGET_MYRIAD);
+    if (checkMyriadTarget())
+        targets.push_back(DNN_TARGET_MYRIAD);
     return testing::ValuesIn(targets);
 }