diff --git a/configs/textrecog/abinet/README.md b/configs/textrecog/abinet/README.md
index 8920c0f3c..6a7faadb3 100644
--- a/configs/textrecog/abinet/README.md
+++ b/configs/textrecog/abinet/README.md
@@ -38,7 +38,9 @@ Linguistic knowledge is of great benefit to scene text recognition. However, how
 | :--------------------------------------------: | :------------------------------------------------: | :----: | :----------: | :-------: | :-------: | :------------: | :----: | :----------------------------------------------- |
 |                                                |                                                    | IIIT5K |     SVT      | IC13-1015 | IC15-2077 |      SVTP      |  CT80  |                                                  |
 | [ABINet-Vision](/configs/textrecog/abinet/abinet-vision_20e_st-an_mj.py) |                         -                          | 0.9523 |    0.9196    |  0.9369   |  0.7896   |     0.8403     | 0.8437 | [model](https://download.openmmlab.com/mmocr/textrecog/abinet/abinet-vision_20e_st-an_mj/abinet-vision_20e_st-an_mj_20220915_152445-85cfb03d.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/abinet/abinet-vision_20e_st-an_mj/20220915_152445.log) |
+| [ABINet-Vision-TTA](/configs/textrecog/abinet/abinet-vision_20e_st-an_mj.py) |                         -                          | 0.9523 |    0.9196    |  0.9360   |  0.8175   |     0.8450     | 0.8542 |                                                  |
 | [ABINet](/configs/textrecog/abinet/abinet_20e_st-an_mj.py) | [Pretrained](https://download.openmmlab.com/mmocr/textrecog/abinet/abinet_pretrain-45deac15.pth) | 0.9603 |    0.9397    |  0.9557   |  0.8146   |     0.8868     | 0.8785 | [model](https://download.openmmlab.com/mmocr/textrecog/abinet/abinet_20e_st-an_mj/abinet_20e_st-an_mj_20221005_012617-ead8c139.pth) \| [log](https://download.openmmlab.com/mmocr/textrecog/abinet/abinet_20e_st-an_mj/20221005_012617.log) |
+| [ABINet-TTA](/configs/textrecog/abinet/abinet_20e_st-an_mj.py) | [Pretrained](https://download.openmmlab.com/mmocr/textrecog/abinet/abinet_pretrain-45deac15.pth) | 0.9597 |    0.9397    |  0.9527   |  0.8426   |     0.8930     | 0.8854 |                                                  |
 
 ```{note}
 1. ABINet allows its encoder to run and be trained without decoder and fuser. Its encoder is designed to recognize texts as a stand-alone model and therefore can work as an independent text recognizer. We release it as ABINet-Vision.