diff --git a/modules/dnn/src/layers/pooling_layer.cpp b/modules/dnn/src/layers/pooling_layer.cpp
index 04c2e65b4b..1fec982dea 100644
--- a/modules/dnn/src/layers/pooling_layer.cpp
+++ b/modules/dnn/src/layers/pooling_layer.cpp
@@ -149,11 +149,12 @@ public:
             out.push_back(outputs[0].size[i]);
         }
         kernel_size.resize(out.size());
-        int diff_size = isGlobalPooling.size() - kernel_size.size();
         for (int i = 0; i < kernel_size.size(); i++)
         {
-            if (isGlobalPooling[i + diff_size])
-                kernel_size[i] = inp[i];
+            int pool_idx = isGlobalPooling.size() - 1 - i;
+            int kernel_idx = kernel_size.size() - 1 - i;
+            if (isGlobalPooling[pool_idx])
+                kernel_size[kernel_idx] = inp[kernel_idx];
         }
         kernel = Size(kernel_size[1], kernel_size[0]);
 
@@ -1001,20 +1002,27 @@ virtual Ptr<BackendNode> initNgraph(const std::vector<Ptr<BackendWrapper> >& inp
         std::vector<int> inpShape(inputs[0].begin() + 2, inputs[0].end());
         std::vector<int> outShape(inputs[0].begin(), inputs[0].begin() + 2);
 
-        if (globalPooling)
+        std::vector<size_t> local_kernel = kernel_size.empty() ?
+                                           std::vector<size_t>(inpShape.begin(), inpShape.end()) : kernel_size;
+
+        for (int i = 0; i < local_kernel.size(); i++)
         {
-            outShape.push_back(1);
-            outShape.push_back(1);
+            int pool_idx = isGlobalPooling.size() - 1 - i;
+            int kernel_idx = local_kernel.size() - 1 - i;
+            if (isGlobalPooling[pool_idx])
+                local_kernel[kernel_idx] = inpShape[kernel_idx];
         }
-        else if (type == ROI || type == PSROI)
+
+
+        if (type == ROI || type == PSROI)
         {
             outShape.push_back(pooledSize.height);
             outShape.push_back(pooledSize.width);
         }
         else if (padMode.empty())
         {
-            for (int i = 0; i < kernel_size.size(); i++) {
-                float dst = (float)(inpShape[i] + pads_begin[i] + pads_end[i] - kernel_size[i]) / strides[i];
+            for (int i = 0; i < local_kernel.size(); i++) {
+                float dst = (float)(inpShape[i] + pads_begin[i] + pads_end[i] - local_kernel[i]) / strides[i];
                 outShape.push_back(1 + (ceilMode ? ceil(dst) : floor(dst)));
             }
 
@@ -1029,7 +1037,7 @@ virtual Ptr<BackendNode> initNgraph(const std::vector<Ptr<BackendWrapper> >& inp
         }
         else
         {
-            getConvPoolOutParams(inpShape, kernel_size, strides, padMode, std::vector<size_t>(kernel_size.size(), 1), outShape);
+            getConvPoolOutParams(inpShape, local_kernel, strides, padMode, std::vector<size_t>(local_kernel.size(), 1), outShape);
         }
         if (type == ROI)
         {
@@ -1044,13 +1052,6 @@ virtual Ptr<BackendNode> initNgraph(const std::vector<Ptr<BackendWrapper> >& inp
             outShape[1] = psRoiOutChannels;
         }
 
-        int diff_size = isGlobalPooling.size() - (outShape.size() - 2);
-        for (int i = 2; i < outShape.size(); i++)
-        {
-            if (isGlobalPooling[i - 2 + diff_size])
-                outShape[i] = 1;
-        }
-
         int numOutputs = requiredOutputs ? requiredOutputs : (type == MAX ? 2 : 1);
         CV_Assert(numOutputs == 1 || (numOutputs == 2 && type == MAX));