add last tf benchmarks

mindee · Sep 8, 2023 · 2d7ed4d · 2d7ed4d
1 parent 10e6a56
commit 2d7ed4d
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/docs/source/using_doctr/using_models.rst b/docs/source/using_doctr/using_models.rst
@@ -147,9 +147,9 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | Tensorflow     | vitstr_small                    | (32, 128, 3)    | 21.4 M       | 83.01      | 83.84         | 86.57      | 87.00         | 2.0                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
-| TensorFlow     | vitstr_base                     | (32, 128, 3)    | 85.2 M       |            |               |            |               | 5.8                |
+| TensorFlow     | vitstr_base                     | (32, 128, 3)    | 85.2 M       | 85.98      | 86.70         | 90.47      | 90.95         | 5.8                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
-| TensorFlow     | parseq                          | (32, 128, 3)    | 23.8 M       |            |               |            |               | 3.6                |
+| TensorFlow     | parseq                          | (32, 128, 3)    | 23.8 M       | 81.62      | 82.29         | 79.13      | 79.52         | 3.6                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | PyTorch        | crnn_vgg16_bn                   | (32, 128, 3)    | 15.8 M       | 86.54      | 87.41         | 94.29      | 94.69         | 0.6                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
@@ -228,9 +228,9 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | TensorFlow     | db_resnet50 + vitstr_small                               | 64.58      | 68.91         | 74.66      | 72.37         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
-| TensorFlow     | db_resnet50 + vitstr_base                                |            |               |            |               |
+| TensorFlow     | db_resnet50 + vitstr_base                                | 66.89      | 71.37         | 79.11      | 76.68         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
-| TensorFlow     | db_resnet50 + parseq                                     |            |               |            |               |
+| TensorFlow     | db_resnet50 + parseq                                     | 65.77      | 70.18         | 71.57      | 69.37         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | PyTorch        | db_resnet50 + crnn_vgg16_bn                              | 67.82      | 73.35         | 84.84      | 83.27         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+