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End-to-End Recognition on ICDAR 2015

13.8Strong Error Rate (S)Baseline OpenCV3.0 + Tesseract
11.0229.78548.5567.315Jul 6, 2018Nov 6, 2018Mar 10, 2019Jul 12, 2019Nov 13, 2019Mar 16, 2020Jul 18, 2020

Evaluation results

MethodLinks
Baseline OpenCV3.0 + Tesseract2018.0713.8128————
TextSpotter2018.073520161———
Stradvision2018.0743.7——————
TextProposals + DictNet2018.0753.349.647.20.2———
Deep text spotter2018.075451479———
HUST_MCLAB2018.0767.9——————
Mask TextSpotterInput Scale=7202018.0771.362.5506.9———
TextBoxes++2020.0773.365.951.9————
Mask TextSpotterInput Scale=10002018.0777.369.960.34.8———
Mask TextSpotterInput Scale=16002018.0779.37362.42.6———
Mask TextSpotter v1Input Resolution (short side)=1600, FPS=2.62020.0779.37362.4————
Boundary TextSpotter2020.0779.775.264.1————
CharNetBackbone=ResNet-502020.0780.174.562.2————
He et al.2020.07827763————
TextDragonFPS=2.62020.0782.578.365.2————
Mask TextSpotter v2Input Resolution (short side)=1600, FPS=22020.078377.773.5————
Mask TextSpotter v3Input Resolution (short side)=1440, FPS=2.52020.0783.378.174.2————
ABCNet v2Backbone=ResNet502026.05————82.777.370.5
MANGOBackbone=ResNet502026.05————81.867.378.9
Mask v3Backbone=ResNet502026.05————83.378.174.2
PAN++Backbone=ResNet182026.05————82.778.269.2
PGNetBackbone=FPN2026.05————83.378.363.5
SAME-NetBackbone=Swin-Trans.2026.05————77.170.283.4