diff --git a/ngraph/python/tests/__init__.py b/ngraph/python/tests/__init__.py
index b6e2e4b8ca7..6640c9adb76 100644
--- a/ngraph/python/tests/__init__.py
+++ b/ngraph/python/tests/__init__.py
@@ -86,12 +86,6 @@ xfail_issue_38712 = xfail_test(reason="RuntimeError: Check '(fmod == 1) "
                                       "Only 'fmod=1' mode is supported for mod operator.")
 xfail_issue_38713 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
                                       "ai.onnx.preview.training.Momentum")
-xfail_issue_38714 = xfail_test(reason="RuntimeError: While validating ONNX node '<Node(Resize): Y>'"
-                                      "Check 'element::Type::merge(element_type, element_type,"
-                                      "node->get_input_element_type(i))' "
-                                      "While validating node 'v1::<name> (sizes[0]:i64{4},"
-                                      "Convert_29306[0]:f32{4}) -> (dynamic?)' with friendly_name '<name>':"
-                                      "Argument element types are inconsistent.")
 xfail_issue_43742 = xfail_test(reason="RuntimeError: nGraph does not support the following ONNX operations:"
                                       "If")
 xfail_issue_45457 = xfail_test(reason="RuntimeError: Unsupported dynamic ops: v5::Loop"
diff --git a/ngraph/python/tests/test_onnx/test_backend.py b/ngraph/python/tests/test_onnx/test_backend.py
index 68f234e8015..6e3c0e50c4c 100644
--- a/ngraph/python/tests/test_onnx/test_backend.py
+++ b/ngraph/python/tests/test_onnx/test_backend.py
@@ -28,7 +28,6 @@ from tests import (BACKEND_NAME,
                    xfail_issue_38708,
                    xfail_issue_38712,
                    xfail_issue_38713,
-                   xfail_issue_38714,
                    xfail_issue_38722,
                    xfail_issue_38723,
                    xfail_issue_38724,
@@ -270,7 +269,8 @@ tests_expected_to_fail = [
      "OnnxBackendNodeModelTest.test_resize_upsample_sizes_nearest_ceil_half_pixel_cpu",
      "OnnxBackendNodeModelTest.test_resize_upsample_sizes_cubic_cpu",
      "OnnxBackendNodeModelTest.test_resize_downsample_sizes_linear_pytorch_half_pixel_cpu",
-     "OnnxBackendNodeModelTest.test_resize_downsample_sizes_nearest_cpu"),
+     "OnnxBackendNodeModelTest.test_resize_downsample_sizes_nearest_cpu",
+     "OnnxBackendNodeModelTest.test_resize_downsample_sizes_nearest_tf_half_pixel_for_nn_cpu"),
     (xfail_issue_33581,
      "OnnxBackendNodeModelTest.test_gather_elements_negative_indices_cpu"),
     (xfail_issue_38712,
@@ -287,8 +287,6 @@ tests_expected_to_fail = [
      "OnnxBackendNodeModelTest.test_momentum_cpu",
      "OnnxBackendNodeModelTest.test_nesterov_momentum_cpu",
      "OnnxBackendNodeModelTest.test_momentum_multiple_cpu"),
-    (xfail_issue_38714,
-     "OnnxBackendNodeModelTest.test_resize_downsample_sizes_nearest_tf_half_pixel_for_nn_cpu"),
     (xfail_issue_47337,
      "OnnxBackendNodeModelTest.test_onehot_without_axis_cpu",
      "OnnxBackendNodeModelTest.test_onehot_with_negative_axis_cpu",