diff --git a/modules/dnn/src/layers/convolution_layer.cpp b/modules/dnn/src/layers/convolution_layer.cpp
index f131c023ab..ef1dc8f29a 100644
--- a/modules/dnn/src/layers/convolution_layer.cpp
+++ b/modules/dnn/src/layers/convolution_layer.cpp
@@ -117,6 +117,9 @@ public:
         {
             kernel_size.assign(1, kernel_size[0]);
             strides.assign(1, strides[0]);
+            dilations.assign(1, dilations[0]);
+            pads_begin.assign(1, pads_begin[0]);
+            pads_end.assign(1, pads_end[0]);
         }
         CV_Assert(weightShape.dims() == kernel_size.size() + 2);
         for (int i = 0; i < kernel_size.size(); i++) {
diff --git a/modules/dnn/src/layers/pooling_layer.cpp b/modules/dnn/src/layers/pooling_layer.cpp
index dbe2332b89..834493966f 100644
--- a/modules/dnn/src/layers/pooling_layer.cpp
+++ b/modules/dnn/src/layers/pooling_layer.cpp
@@ -167,14 +167,13 @@ public:
 
         if (inputs[0].dims == 3)
         {
-            //Pool1D
-            kernel_size.erase(kernel_size.begin() + 1);
-            strides.erase(strides.begin() + 1);
-            pads_begin.erase(pads_begin.begin() + 1);
-            pads_end.erase(pads_end.begin() + 1);
+            // Pool1D
+            kernel_size.assign(1, kernel_size[0]);
+            strides.assign(1, strides[0]);
+            pads_begin.assign(1, pads_begin[0]);
+            pads_end.assign(1, pads_end[0]);
         }
 
-
 #ifdef HAVE_OPENCL
         poolOp.release();
 #endif