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Baek JeongHun 2019-10-23 15:57:07 +09:00 committed by GitHub
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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
**Oct 22, 2019**: added [confidence score](https://github.com/clovaai/deep-text-recognition-benchmark/issues/82), [minor update](https://github.com/clovaai/deep-text-recognition-benchmark/pull/91) for PyTorch 1.3.0 or later. <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>
**Jul 16, 2019**: added [ST_spe.zip](https://drive.google.com/drive/folders/192UfE9agQUMNq6AgU3_E05_FcPZK4hyt) dataset, word images contain special characters in SynthText (ST) dataset, see [this issue](https://github.com/clovaai/deep-text-recognition-benchmark/issues/7#issuecomment-511727025) <br>