diff --git a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
index 9d0833d..62f55fa 100644
--- a/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradFilterTransformKernel.h
@@ -54,8 +54,9 @@
      *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
      *
      * @note Winograd filter transform supports the following configurations for NHWC data layout
-     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3)
-     *                                   F(4x4, 5x5)
+     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
+     *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
+     *
      *       Strides: only unit strides
      *
      * @param[in]  input         Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F32.
@@ -71,8 +72,9 @@
      *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
      *
      * @note Winograd filter transform supports the following configurations for NHWC data layout
-     *       F(output tile, kernel size):F(4x4, 3x3),
-     *                                   F(4x4, 5x5)
+     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
+     *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
+     *
      *       Strides: only unit strides
      *
      * @param[in]  input         Source tensor. The input is a 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] (NCHW data layout) or [IFM, kernel_x, kernel_y, OFM] (NHWC data layout). Data types supported: F32.
diff --git a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
index 410e8ba..517b348 100644
--- a/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradInputTransformKernel.h
@@ -52,8 +52,9 @@
      *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
      *
      * @note Winograd input transform supports the following configurations for NHWC data layout
-     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3)
-     *                                   F(4x4, 5x5)
+     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
+     *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
+     *
      *       Strides: only unit strides
      *
      * @param[in] input         The input tensor to transform. Data types supported: F32
@@ -69,8 +70,9 @@
      *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
      *
      * @note Winograd input transform supports the following configurations for NHWC data layout
-     *       F(output tile, kernel size):F(4x4, 3x3),
-     *                                   F(4x4, 5x5)
+     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
+     *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
+     *
      *       Strides: only unit strides
      *
      * @param[in] input         The input tensor to transform. Data types supported: F32
diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
index 0798172..bab93de 100644
--- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
@@ -54,8 +54,9 @@
      *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
      *
      * @note Winograd output transform supports the following configurations for NHWC data layout
-     *       F(output tile, kernel size):F(4x4, 3x3),
-     *                                   F(4x4, 5x5)
+     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
+     *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
+     *
      *       Strides: only unit strides
      *
      * @param[in]  input         Source tensor with shape [C, N, K, batches]. Data types supported: F32.
@@ -72,8 +73,9 @@
      *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
      *
      * @note Winograd output transform supports the following configurations for NHWC data layout
-     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3)
-     *                                   F(4x4, 5x5)
+     *       F(output tile, kernel size):F(4x4, 3x3), F(4x1, 3x1), F(1x4, 1x3),
+     *                                   F(4x4, 5x5), F(4x1, 5x1), F(1x4, 1x5)
+     *
      *       Strides: only unit strides
      *
      * @param[in]  input         Source tensor with shape [C, N, K, batches]. Data types supported: F32.