add performance

README.md

@@ -5,21 +5,21 @@ Progressive Scale Expansion Network (PSENet) is a shape robust text detector whi
 ![image](https://github.com/whai362/PSENet/blob/master/figure/pipeline.png)
 
 ## Performance
-### Performance on [ICDAR 2015(http://rrc.cvc.uab.es/?ch=4&com=evaluation&task=1)]
+### Performance on [ICDAR 2015](http://rrc.cvc.uab.es/?ch=4&com=evaluation&task=1)
 | Method | Precision (%) | Recall (%) | F-measure (%) | 
 | - | - | - | - |
 | PSENet-4s | 87.98 | 83.87 | 85.88 |
 | PSENet-2s | 89.30 | 85.22 | 87.21 |
 | PSENet-1s | 88.71 | 85.51 | 87.08 |
 
-### Performance on [ICDAR 2017 MLT(http://rrc.cvc.uab.es/?ch=8&com=evaluation&task=1)]
+### Performance on [ICDAR 2017 MLT](http://rrc.cvc.uab.es/?ch=8&com=evaluation&task=1)
 | Method | Precision (%) | Recall (%) | F-measure (%) | 
 | - | - | - | - |
 | PSENet-4s | 75.98 | 67.56 | 71.52 |
 | PSENet-2s | 76.97 | 68.35 | 72.40 |
 | PSENet-1s | 77.01 | 68.40 | 72.45 |
 
-### Performance on [SCUT-CTW1500(http://rrc.cvc.uab.es/?ch=4&com=evaluation&task=1)]
+### Performance on [SCUT-CTW1500](http://rrc.cvc.uab.es/?ch=4&com=evaluation&task=1)
 | Method | Precision (%) | Recall (%) | F-measure (%) | 
 | - | - | - | - |
 | PSENet-4s | 80.49 | 78.13 | 79.29 |