Text Localization on ICDAR 2013 (test) benchmark leaderboard · SOTA2 Research

Text Localization on ICDAR 2013 (test)

87RecallTang et al.

Evaluation Results

Method	Links
Tang et al.2018.01		87	92	90
TextBoxes++2018.01		86	92	89
Tian et al.2018.01		84	84	84
TextBoxes++2018.01		84	91	88
Shi et al.2018.01		83	88	85
Tian et al.2018.01		83	93	88
TextBoxes2018.01		83	88	85
TextBoxes2018.01		83	89	86
Qin et al.2018.01		79	89	83
FCN2018.01		78	88	83
TextFlow2018.01		76	85	80
He et al.2018.01		76	85	80
FCRNall+filts2018.01		76	92	83
TextBoxes2018.01		74	86	80
TextBoxes2018.01		74	88	81
TextBoxes++2018.01		74	86	80
TextBoxes++2018.01		74	88	81
He et al.2018.01		73	93	82
proposed method2015.04		72.4	81.8	77.1
MMser2018.01		70	86	77
Lu et al.2018.01		70	89	78
fasttext2018.01		69	84	77
Yin et al.2015.04		68.3	86.3	76.2
TexStar2015.04		66.4	88.5	75.9
our previous method2015.04		64.8	87.5	74.5
Kim2015.04		62.5	83	71.3
SSD2018.01		60	80	68
SSD2018.01		60	80	69