diff --git a/mmocr/models/textdet/postprocessors/db_postprocessor.py b/mmocr/models/textdet/postprocessors/db_postprocessor.py
index dd4e123b..33b9560d 100644
--- a/mmocr/models/textdet/postprocessors/db_postprocessor.py
+++ b/mmocr/models/textdet/postprocessors/db_postprocessor.py
@@ -115,8 +115,10 @@ class DBPostprocessor(BaseTextDetPostProcessor):
 
             if len(poly) > 0:
                 data_sample.pred_instances.polygons.append(poly)
-                data_sample.pred_instances.scores.append(
-                    torch.FloatTensor([score]))
+                data_sample.pred_instances.scores.append(score)
+
+        data_sample.pred_instances.scores = torch.FloatTensor(
+            data_sample.pred_instances.scores)
 
         return data_sample
 
diff --git a/tests/test_models/test_textdet/test_postprocessors/test_db_postprocessor.py b/tests/test_models/test_textdet/test_postprocessors/test_db_postprocessor.py
index 48896f93..169814fb 100644
--- a/tests/test_models/test_textdet/test_postprocessors/test_db_postprocessor.py
+++ b/tests/test_models/test_textdet/test_postprocessors/test_db_postprocessor.py
@@ -33,10 +33,14 @@ class TestDBPostProcessor(unittest.TestCase):
         results = postprocessor.get_text_instances(pred_result, data_sample)
         self.assertIn('polygons', results.pred_instances)
         self.assertIn('scores', results.pred_instances)
+        self.assertTrue(
+            isinstance(results.pred_instances['scores'], torch.FloatTensor))
 
         postprocessor = DBPostprocessor(
             min_text_score=1, text_repr_type=text_repr_type)
         pred_result = dict(prob_map=torch.rand(4, 5) * 0.8)
         results = postprocessor.get_text_instances(pred_result, data_sample)
         self.assertEqual(results.pred_instances.polygons, [])
-        self.assertEqual(results.pred_instances.scores, [])
+        self.assertTrue(
+            isinstance(results.pred_instances['scores'], torch.FloatTensor))
+        self.assertEqual(len(results.pred_instances.scores), 0)