method: Tencent-DPPR Team2019-04-30
Authors: Longhuang Wu, Shangxuan Tian, Chang Liu, Wenjie Cai, Jiachen Li, Sicong Liu, Haoxi Li, Chunchao Guo, Hongfa Wang, Hongkai Chen, Qinglin lu, Xucheng Yin, Lei Xiao
Description: Tencent-DPPR (Data Platform Precision Recommendation) Team. The method is based on two stage text detector, and use several different backbones and fcn based model to ensemble.
method: NJU_ImagineLab2019-05-01
Authors: Yao Xiao, Xiaoge Song, Wenhai Wang, Enze Xie, Tong Lu
Description: A instance segmentation-based method which is adopted from Mask R-CNN. Our model is trained on the joint dataset of LSVT, ICDAR2017-MLT and ICDAR2019-MLT.
ImagineLab, National Key Lab for Novel Software Technology, Nanjing University
Tongji University
method: PMTD2019-04-30
Authors: Jingchao Liu, Xuebo Liu, Ding Liang
Description: Pyramid Mask Text Detector, see https://arxiv.org/abs/1903.11800 for detail.
| Date | Method | Recall | Precision | Hmean | |||
|---|---|---|---|---|---|---|---|
| 2019-04-30 | Tencent-DPPR Team | 77.43% | 83.42% | 80.31% | |||
| 2019-05-01 | NJU_ImagineLab | 75.01% | 81.73% | 78.22% | |||
| 2019-04-30 | PMTD | 75.60% | 80.69% | 78.06% | |||
| 2019-04-30 | Amap-CVLab | 75.58% | 79.66% | 77.57% | |||
| 2019-04-29 | SRCB_LSVT | 72.39% | 83.10% | 77.38% | |||
| 2021-03-17 | DuXiaoman_OCR | 73.32% | 80.72% | 76.84% | |||
| 2021-07-05 | WHU-SigmaLab | 75.08% | 78.02% | 76.52% | |||
| 2019-04-30 | A scene text detection method based on maskrcnn | 72.64% | 80.46% | 76.35% | |||
| 2019-04-30 | Fudan-Supremind Detection | 73.90% | 77.63% | 75.72% | |||
| 2019-04-30 | DMText_lsvt | 70.92% | 79.11% | 74.79% | |||
| 2019-04-26 | baseline_polygon_0.7 | 70.99% | 78.75% | 74.66% | |||
| 2020-07-13 | MaskRCNN_Baseline | 72.86% | 74.73% | 73.79% | |||
| 2020-06-29 | MaskRCNN_baseline | 70.13% | 74.26% | 72.13% | |||
| 2019-04-30 | TMIS | 68.67% | 74.37% | 71.40% | |||
| 2019-04-30 | Sg_whole | 79.27% | 63.80% | 70.69% | |||
| 2019-04-30 | pursuer | 65.49% | 75.80% | 70.27% | |||
| 2019-04-30 | HUST_VLRGROUP | 69.17% | 71.38% | 70.26% | |||
| 2019-04-30 | PAT-S.Y | 63.08% | 74.31% | 68.24% | |||
| 2019-04-22 | Mask R-CNN | 63.97% | 71.03% | 67.31% | |||
| 2019-04-29 | VIC-LISAR | 61.47% | 74.26% | 67.27% | |||
| 2019-04-27 | CLTDR | 64.71% | 69.31% | 66.93% | |||
| 2021-04-13 | mypannet | 59.34% | 67.66% | 63.23% | |||
| 2019-04-29 | test4 | 54.82% | 71.60% | 62.10% | |||
| 2019-04-26 | PSENet_v2 | 59.22% | 64.65% | 61.81% | |||
| 2023-03-28 | FFDA-DBNet | 52.46% | 67.37% | 58.99% | |||
| 2023-03-22 | fpn_11.22 | 51.29% | 69.01% | 58.84% | |||
| 2023-03-28 | DBNet | 51.67% | 68.26% | 58.82% | |||
| 2023-03-22 | fpn_1.21 | 50.63% | 68.91% | 58.37% | |||
| 2019-04-26 | Papago OCR (PixelLink+) | 53.02% | 63.59% | 57.82% | |||
| 2020-11-23 | hrnet_w40_casecade | 56.84% | 57.33% | 57.08% | |||
| 2019-04-27 | JDIVA_Textboxes++ | 54.50% | 59.63% | 56.95% | |||
| 2019-04-20 | Simple Baseline | 54.92% | 56.14% | 55.52% | |||
| 2019-04-30 | CRAFT | 51.34% | 55.59% | 53.38% | |||
| 2019-04-21 | none | 48.19% | 59.69% | 53.33% | |||
| 2019-04-21 | one | 48.19% | 59.69% | 53.33% | |||
| 2022-03-03 | db | 45.19% | 59.56% | 51.39% | |||
| 2022-06-06 | gxz modified mobilenetv3 dbnet for amlogic npu | 42.51% | 53.64% | 47.43% | |||
| 2019-04-25 | AdvancedEast model with post processing | 43.20% | 52.52% | 47.41% | |||
| 2019-04-24 | captcha detection | 39.87% | 43.40% | 41.56% | |||
| 2019-05-01 | TextMask_V1 | 68.16% | 28.82% | 40.51% | |||
| 2022-06-06 | paddle ocr ch_pp_mobile_v2.0 det | 34.00% | 49.50% | 40.31% | |||
| 2019-04-30 | DDT | 74.50% | 13.12% | 22.31% |