add benchmarks vitstr base sar - remove sar from ende to end benchmar…

…k atm
mindee · Oct 27, 2023 · 541e788 · 541e788
1 parent 5fe7d5c
commit 541e788
Showing 1 changed file with 3 additions and 7 deletions.
diff --git a/docs/source/using_doctr/using_models.rst b/docs/source/using_doctr/using_models.rst
@@ -159,11 +159,11 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | PyTorch        | master                          | (32, 128, 3)    | 58.7 M       | 88.57      | 89.39         | 95.73      | 96.21         | 17.6               |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
-| PyTorch        | sar_resnet31                    | (32, 128, 3)    | 55.4 M       |            |               |            |               | 4.9                |
+| PyTorch        | sar_resnet31                    | (32, 128, 3)    | 55.4 M       | 88.10      | 88.88         | 94.83      | 95.29         | 4.9                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | PyTorch        | vitstr_small                    | (32, 128, 3)    | 21.4 M       | 88.00      | 88.82         | 95.40      | 95.78         | 1.5                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
-| PyTorch        | vitstr_base                     | (32, 128, 3)    | 85.2 M       |            |               |            |               | 4.1                |
+| PyTorch        | vitstr_base                     | (32, 128, 3)    | 85.2 M       | 88.33      | 89.09         | 95.32      | 95.71         | 4.1                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
 | PyTorch        | parseq                          | (32, 128, 3)    | 23.8 M       | 88.53      | 89.24         | 95.56      | 95.91         | 2.2                |
 +----------------+---------------------------------+-----------------+--------------+------------+---------------+------------+---------------+--------------------+
@@ -222,8 +222,6 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | TensorFlow     | db_resnet50 + crnn_mobilenet_v3_large                    | 70.01      | 74.70         | 83.28      | 80.73         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
-| TensorFlow     | db_resnet50 + sar_resnet31                               | 68.75      | 73.76         | 78.56      | 76.24         |
-+----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | TensorFlow     | db_resnet50 + master                                     | 68.75      | 73.76         | 78.56      | 76.24         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | TensorFlow     | db_resnet50 + vitstr_small                               | 64.58      | 68.91         | 74.66      | 72.37         |
@@ -238,13 +236,11 @@ For a comprehensive comparison, we have compiled a detailed benchmark on publicl
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | PyTorch        | db_resnet50 + crnn_mobilenet_v3_large                    | 68.45      | 74.63         | 84.86      | 83.27         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
-| PyTorch        | db_resnet50 + sar_resnet31                               |            |               |            |               |
-+----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | PyTorch        | db_resnet50 + master                                     | 69.22      | 75.46         | 86.11      | 84.54         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | PyTorch        | db_resnet50 + vitstr_small                               | 68.13      | 74.27         | 85.70      | 84.14         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
-| PyTorch        | db_resnet50 + vitstr_base                                |            |               |            |               |
+| PyTorch        | db_resnet50 + vitstr_base                                | 69.10      | 75.33         | 85.80      | 84.24         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+
 | PyTorch        | db_resnet50 + parseq                                     | 69.01      | 75.24         | 86.01      | 84.44         |
 +----------------+----------------------------------------------------------+------------+---------------+------------+---------------+