diff --git a/modules/dnn/src/layers/convolution_layer.cpp b/modules/dnn/src/layers/convolution_layer.cpp
index 60611b52b2490c2b8373eaba10d79a430df7d707..453892ec453eda12c1201e1163689c04a4740332 100644
--- a/modules/dnn/src/layers/convolution_layer.cpp
+++ b/modules/dnn/src/layers/convolution_layer.cpp
@@ -1217,12 +1217,8 @@ public:
         int dims[] = {inputs[0][0], outCn, outH, outW};
         outputs.resize(inputs.size(), shape(dims, 4));
 
-        internals.push_back(MatShape());
         if (!is1x1())
-            internals[0] = computeColRowShape(inputs[0], outputs[0]);
-
-        if (hasBias())
-            internals.push_back(shape(1, outH*outW));
+            internals.push_back(computeColRowShape(inputs[0], outputs[0]));
 
         return false;
     }
diff --git a/modules/dnn/test/test_onnx_importer.cpp b/modules/dnn/test/test_onnx_importer.cpp
index 217ef3442107dbd87614da0987eeef0249f5eac2..5bd517433f6254d32e8b19f8c234a5596d25e878 100644
--- a/modules/dnn/test/test_onnx_importer.cpp
+++ b/modules/dnn/test/test_onnx_importer.cpp
@@ -72,6 +72,7 @@ TEST_P(Test_ONNX_layers, Deconvolution)
 {
     testONNXModels("deconvolution");
     testONNXModels("two_deconvolution");
+    testONNXModels("deconvolution_group");
 }
 
 TEST_P(Test_ONNX_layers, Dropout)