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: DuXiaoman_OCR2021-03-17
Authors: Hang Yang
Affiliation: Du Xiaoman Financial
Description: We propose a novel text alignment module to decrease FPs
| Date | Method | Recall | Precision | Hmean | |||
|---|---|---|---|---|---|---|---|
| 2019-04-30 | Tencent-DPPR Team | 83.31% | 89.77% | 86.42% | |||
| 2019-05-01 | NJU_ImagineLab | 82.09% | 89.45% | 85.61% | |||
| 2021-03-17 | DuXiaoman_OCR | 80.84% | 89.00% | 84.72% | |||
| 2021-07-05 | WHU-SigmaLab | 83.07% | 86.32% | 84.67% | |||
| 2019-04-30 | PMTD | 81.92% | 87.44% | 84.59% | |||
| 2019-04-30 | DMText_lsvt | 80.03% | 89.28% | 84.40% | |||
| 2019-04-26 | baseline_polygon_0.7 | 80.22% | 88.99% | 84.37% | |||
| 2019-04-30 | A scene text detection method based on maskrcnn | 79.82% | 88.41% | 83.90% | |||
| 2019-04-30 | Fudan-Supremind Detection | 81.81% | 85.94% | 83.82% | |||
| 2019-04-30 | Amap-CVLab | 81.34% | 85.73% | 83.48% | |||
| 2019-04-29 | SRCB_LSVT | 77.95% | 89.48% | 83.32% | |||
| 2019-04-30 | HUST_VLRGROUP | 81.93% | 84.54% | 83.21% | |||
| 2019-04-30 | pursuer | 76.60% | 88.66% | 82.19% | |||
| 2019-04-30 | TMIS | 78.38% | 84.90% | 81.51% | |||
| 2021-04-13 | mypannet | 75.69% | 86.30% | 80.65% | |||
| 2019-04-22 | Mask R-CNN | 76.13% | 84.54% | 80.11% | |||
| 2020-07-13 | MaskRCNN_Baseline | 78.67% | 80.69% | 79.67% | |||
| 2019-04-30 | PAT-S.Y | 73.60% | 86.70% | 79.62% | |||
| 2020-06-29 | MaskRCNN_baseline | 77.29% | 81.85% | 79.50% | |||
| 2019-04-30 | Sg_whole | 88.23% | 71.01% | 78.69% | |||
| 2019-04-29 | VIC-LISAR | 71.28% | 86.11% | 78.00% | |||
| 2019-04-27 | CLTDR | 74.94% | 80.28% | 77.52% | |||
| 2019-04-26 | PSENet_v2 | 72.95% | 79.64% | 76.15% | |||
| 2020-11-23 | hrnet_w40_casecade | 72.88% | 73.51% | 73.19% | |||
| 2019-04-26 | Papago OCR (PixelLink+) | 67.03% | 80.40% | 73.11% | |||
| 2023-03-28 | FFDA-DBNet | 64.66% | 83.04% | 72.71% | |||
| 2023-03-28 | DBNet | 63.32% | 83.65% | 72.08% | |||
| 2023-03-22 | fpn_11.22 | 62.54% | 84.15% | 71.76% | |||
| 2023-03-22 | fpn_1.21 | 62.02% | 84.42% | 71.51% | |||
| 2019-04-20 | Simple Baseline | 70.24% | 71.81% | 71.02% | |||
| 2019-04-27 | JDIVA_Textboxes++ | 66.96% | 73.26% | 69.97% | |||
| 2019-04-29 | test4 | 61.75% | 80.66% | 69.95% | |||
| 2019-04-21 | none | 62.01% | 76.81% | 68.62% | |||
| 2019-04-21 | one | 62.01% | 76.81% | 68.62% | |||
| 2019-04-30 | CRAFT | 64.21% | 69.52% | 66.76% | |||
| 2022-03-03 | db | 54.97% | 72.45% | 62.51% | |||
| 2019-04-25 | AdvancedEast model with post processing | 54.75% | 66.55% | 60.08% | |||
| 2022-06-06 | gxz modified mobilenetv3 dbnet for amlogic npu | 53.05% | 66.94% | 59.19% | |||
| 2019-04-24 | captcha detection | 52.17% | 56.79% | 54.38% | |||
| 2022-06-06 | paddle ocr ch_pp_mobile_v2.0 det | 43.29% | 63.02% | 51.33% | |||
| 2019-05-01 | TextMask_V1 | 77.28% | 32.67% | 45.93% | |||
| 2019-04-30 | DDT | 83.36% | 14.68% | 24.96% |