diff --git a/include/aidge/backend/cpu/operator/ConvDepthWiseImpl_kernels.hpp b/include/aidge/backend/cpu/operator/ConvDepthWiseImpl_kernels.hpp
index 4d4caa07eefbd1c31a96922de42e875ac165b1c1..59a471aee82f7c706be390d80b5db569bd3c6f1e 100644
--- a/include/aidge/backend/cpu/operator/ConvDepthWiseImpl_kernels.hpp
+++ b/include/aidge/backend/cpu/operator/ConvDepthWiseImpl_kernels.hpp
@@ -135,12 +135,12 @@ void ConvDepthWiseImpl2D_cpu_forward_kernel(const std::array<DimSize_t, 2>& stri
     // output H size
     const DimSize_t dilated_kernel_x = dilationDims[0]*(kernelDims[0] - 1) + 1;
     const std::size_t oxSize =
-            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - dilated_kernel_x - 1 + strideDims[0]) /
+            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[2] - dilated_kernel_x + strideDims[0]) /
                                 static_cast<float>(strideDims[0])));
     // output W size
     const DimSize_t dilated_kernel_y = dilationDims[1]*(kernelDims[1] - 1) + 1;
     const std::size_t oySize =
-            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[3] - dilated_kernel_y - 1 + strideDims[1]) /
+            static_cast<std::size_t>(std::floor(static_cast<float>(inputDims[3] - dilated_kernel_y + strideDims[1]) /
                                 static_cast<float>(strideDims[1])));
 
     // TODO: kernel computation