From bbcefdf3f7cf52e2e992423c3c34828fb302ad7d Mon Sep 17 00:00:00 2001 From: zhangjinjin Date: Wed, 11 Dec 2019 16:45:47 +0800 Subject: [PATCH] add technical report url --- README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 2a1188b..1ddf4ab 100644 --- a/README.md +++ b/README.md @@ -4,9 +4,11 @@ This is the **ranked No.1** tensorflow based scene text spotting algorithm on [__ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text__](https://rrc.cvc.uab.es/?ch=14) (Latin Only, Latin and Chinese), futhermore, the algorithm is also adopted in [__ICDAR2019 Robust Reading Challenge on Large-scale Street View Text with Partial Labeling__](https://rrc.cvc.uab.es/?ch=16) and [__ICDAR2019 Robust Reading Challenge on Reading Chinese Text on Signboard__](https://rrc.cvc.uab.es/?ch=12). -Scene text detection algorithm is modified from [__Tensorpack FasterRCNN__](https://github.com/tensorpack/tensorpack/tree/master/examples/FasterRCNN), and we only open source code in this repository for scene text recognition. I upload ICDAR2019 ArT competition model to docker hub, please refer to [Docker](#Docker). +Scene text detection algorithm is modified from [__Tensorpack FasterRCNN__](https://github.com/tensorpack/tensorpack/tree/master/examples/FasterRCNN), and we only open source code in this repository for scene text recognition. I upload ICDAR2019 ArT competition model to docker hub, please refer to [Docker](#Docker). For more details, please refer to our [__arXiv technical report__](https://arxiv.org/abs/1912.04561). -Note that our text recognition algorithm not only recognize Latin and Non-Latin characters, but also support horizontal and vertical text recognition in one model. It is convenient for multi-lingual arbitrary-shaped text recognition. +Note that our text recognition algorithm not only recognizes Latin and Non-Latin characters, but also supports horizontal and vertical text recognition in one model. It is convenient for multi-lingual arbitrary-shaped text recognition. + +**Note that the competition model in docker container as described in our technical report is slightly different from the recognition model trained from this updated repository.** ## Dependencies @@ -119,4 +121,3 @@ $(localhost or remote server ip address):5000 ``` ![](imgs/web.png) -**Note that the competition model in docker container is slightly different from the recognition model trained from this updated repository.** \ No newline at end of file