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@@ -11,7 +11,7 @@ Based on this framework, we recorded the 1st place of [ICDAR2013 focused scene t
 The difference between our paper and ICDAR challenge is summarized [here](https://github.com/clovaai/deep-text-recognition-benchmark/issues/13).
 
 ## Updates
-**Dec 27, 2019**: added [FLOPS](https://github.com/clovaai/deep-text-recognition-benchmark/issues/125) in our paper, and minor updates such as log_dataset.txt and [ICDAR2019-NormalizedED](https://github.com/clovaai/deep-text-recognition-benchmark/blob/master/test.py#L139-L165). <br>
+**Dec 27, 2019**: added [FLOPS](https://github.com/clovaai/deep-text-recognition-benchmark/issues/125) in our paper, and minor updates such as log_dataset.txt and [ICDAR2019-NormalizedED](https://github.com/clovaai/deep-text-recognition-benchmark/blob/86451088248e0490ff8b5f74d33f7d014f6c249a/test.py#L139-L165). <br>
 **Oct 22, 2019**: added [confidence score](https://github.com/clovaai/deep-text-recognition-benchmark/issues/82), and arranged the output form of training logs. <br>
 **Jul 31, 2019**: The paper is accepted at International Conference on Computer Vision (ICCV), Seoul 2019, as an oral talk. <br>
 **Jul 25, 2019**: The code for floating-point 16 calculation, check [@YacobBY's](https://github.com/YacobBY) [pull request](https://github.com/clovaai/deep-text-recognition-benchmark/pull/36) <br>