method: Tencent TEG OCR2020-03-15
Authors: Pei Xu, Shan Huang, Hongzhen Wang, Shen Huang, Qi Ju.
Description: We reimplemented the standalone recognition method according to the end-to-end text spotting code released by the Mask TextSpotter[TPAMI]. It is a seq-to-seq method based on 2D attention. We synthesize curved text images for pretraining by the method of VGG synthtext. We add public dataset including icdar2013-2015, CUTE, SVT, IIIT5k, RCTW2017, LSVT to finetune and don't use any private data.
method: baseline_0.5_class_54352019-04-28
Authors: Jinjin Zhang, Beihang University
Description: instance segment based method for text detection and attention based method for text recognition with threshold 0.5 and 5435 classes. Data augmentation and extra datasets including LSVT, ICDAR2017, COCO-Text, RECTS are used for text recognition.
| Date | Method | Recall | Precision | Hmean | 1-NED | |||
|---|---|---|---|---|---|---|---|---|
| 2020-03-15 | Tencent TEG OCR | 66.61% | 70.30% | 68.40% | 67.12% | |||
| 2019-04-28 | baseline_0.5_class_5435 | 49.29% | 56.03% | 52.45% | 53.86% |