diff --git a/test/test_onnx.py b/test/test_onnx.py
index 03bd667ac24..cf9e1c6bb9d 100644
--- a/test/test_onnx.py
+++ b/test/test_onnx.py
@@ -365,11 +365,23 @@ def test_heatmaps_to_keypoints(self):
         assert torch.all(out2[0].eq(out_trace2[0]))
         assert torch.all(out2[1].eq(out_trace2[1]))
 
-    @unittest.skip("Disable test until Argmax is updated in ONNX")
     def test_keypoint_rcnn(self):
-        images, test_images = self.get_test_images()
+        class KeyPointRCNN(torch.nn.Module):
+            def __init__(self):
+                super(KeyPointRCNN, self).__init__()
+                self.model = models.detection.keypoint_rcnn.keypointrcnn_resnet50_fpn(pretrained=True,
+                                                                                      min_size=200,
+                                                                                      max_size=300)
+
+            def forward(self, images):
+                output = self.model(images)
+                # TODO: The keypoints_scores require the use of Argmax that is updated in ONNX.
+                #       For now we are testing all the output of KeypointRCNN except keypoints_scores.
+                #       Enable When Argmax is updated in ONNX Runtime.
+                return output[0]['boxes'], output[0]['labels'], output[0]['scores'], output[0]['keypoints']
 
-        model = models.detection.keypoint_rcnn.keypointrcnn_resnet50_fpn(pretrained=True, min_size=200, max_size=300)
+        images, test_images = self.get_test_images()
+        model = KeyPointRCNN()
         model.eval()
         model(test_images)
         self.run_model(model, [(images,), (test_images,)])