diff --git a/inference-engine/src/vpu/common/src/ngraph/transformations/dynamic_to_static_shape_strided_slice.cpp b/inference-engine/src/vpu/common/src/ngraph/transformations/dynamic_to_static_shape_strided_slice.cpp
index 6e7fcd4492c9c5..214998696328ad 100644
--- a/inference-engine/src/vpu/common/src/ngraph/transformations/dynamic_to_static_shape_strided_slice.cpp
+++ b/inference-engine/src/vpu/common/src/ngraph/transformations/dynamic_to_static_shape_strided_slice.cpp
@@ -14,6 +14,7 @@
 #include "ngraph/opsets/opset3.hpp"
 #include <algorithm>
 #include <memory>
+#include <numeric>
 
 namespace vpu {
 
@@ -32,10 +33,16 @@ std::shared_ptr<ngraph::Node> calculate_output_shape(
         const ngraph::AxisSet & begin_mask,
         const ngraph::AxisSet & end_mask,
         const ngraph::Output<ngraph::Node> & input_shape) {
-    const auto shape_type = input_shape.get_element_type();
+    const auto& shape_type = input_shape.get_element_type();
+
+    VPU_THROW_UNLESS(begin.size() == end.size() && begin.size() == strides.size(),
+        "Begin, end and strides inputs must be of the same size, but {}, {} and {} given accordingly", begin.size(), end.size(), strides.size());
+    const auto inputShapeRank = input_shape.get_partial_shape()[0].get_length();
+    VPU_THROW_UNLESS(inputShapeRank >= begin.size(),
+        "Input shape rank must not be less than begin/end/strides size, but {} and {} given accordingly", inputShapeRank, begin.size());
 
     ngraph::OutputVector output_dimensions;
-    for (int64_t axis = 0; axis < input_shape.get_partial_shape()[0].get_length(); ++axis) {
+    for (int64_t axis = 0; axis < begin.size(); ++axis) {
         auto lb = begin[axis], ub = end[axis], stride = strides[axis];
 
         ngraph::Output<ngraph::Node> lower_bound = ngraph::opset3::Constant::create(shape_type, {1}, {lb});
@@ -99,6 +106,22 @@ std::shared_ptr<ngraph::Node> calculate_output_shape(
         }
         output_dimensions.push_back(output_dimension);
     }
+
+    if (output_dimensions.size() < inputShapeRank) {
+        std::vector<std::int64_t> indices(inputShapeRank - output_dimensions.size());
+        std::iota(indices.begin(), indices.end(), static_cast<std::int64_t>(output_dimensions.size()));
+
+        const auto tail = std::make_shared<ngraph::opset3::Gather>(
+            input_shape,
+            ngraph::opset3::Constant::create(ngraph::element::i64, {indices.size()}, indices),
+            ngraph::opset3::Constant::create(shape_type, {}, {0}));
+        output_dimensions.push_back(tail);
+    }
+
+    VPU_THROW_UNLESS(output_dimensions.size() == inputShapeRank,
+        "output shape rank {} must be equal to input shape rank {} for DTS of StridedSlice",
+        output_dimensions.size(), inputShapeRank);
+
     const auto output_shape = std::make_shared<ngraph::opset3::Concat>(output_dimensions, 0);
     return output_shape;
 }