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Text Detection on ICDAR 2015

94.1Precision

Corner

Updated 1mo ago

Evaluation Results

Method
Corner 2019.11	94.1	70.7	80.7	-	3.6
UNITS 2023.04	94	91	92.5	-	-
DEER 2023.04	93.7	86.2	89.8	-	-
UNITS Shared 2023.04	93.6	90.5	92	-	-
DeepSolo 2023.05	92.8	87.4	-	90	-
Feng et al. 2019.12	92.5	83.8	-	87.9	-
CRAFTS 2023.05	92.5	83.8	-	87.9	-
DeepSolo 2023.05	92.5	87.2	-	89.8	-
DeepSolo 2023.05	92.4	87.9	-	90.1	-
Text Perceptron 2020.02	92.3	82.5	87.1	-	-
TextPerceptron 2023.05	92.3	82.5	-	87.1	-
Orderless Box Discretization (OBD) 2019.12	92.1	88.2	-	90.1	-
He et al. [68] 2019.12	92	79.7	-	85.4	-
Liu et al. [16] 2019.12	91.9	87.9	-	89.8	-
FOTS MS 2018.01	91.85	87.92	89.84	-	-
DB 2019.11	91.8	83.2	87.3	-	12
DB 2021.04	91.8	83.2	87.3	-	-
TextDragon 2023.05	91.8	84.8	-	88.2	-
Qin et al. 2019.12	91.7	88	-	89.8	-
Lyu et al. [69] 2019.12	91.6	81	-	86	-
Mask TextSpotter 2020.02	91.6	81	86	-	-
Text Perceptron 2020.02	91.6	81.8	86.4	-	-
EAST + VLPT-STD 2022.04	91.5	85.4	88.3	-	-
LOMO 2019.11	91.3	83.5	87.2	-	-
Zhang et al. 2019.12	91.3	83.5	-	87.2	-
LOMO 2021.04	91.3	83.5	87.2	-	-
LOMO 2021.05	91.3	83.5	-	87.2	-
Mask TS v3 2023.05	91.2	88.3	-	89.7	-
FOTS 2018.01	91	85.17	87.99	-	-
FOTS 2020.02	91	85.2	88	-	-
Huang et al. 2019.12	90.8	81.5	-	85.9	-
ATTR 2021.05	90.4	83.3	-	86.8	-
ABCNet v2 2021.05	90.4	86	-	88.1	-
GNNets 2022.04	90.4	86.7	88.5	-	-
ABCNet v2 2023.04	90.4	86	88.1	-	-
GLASS 2023.05	90.4	86	-	88.1	-
TESTR 2023.04	90.3	89.7	90	-	-
TESTR 2023.05	90.3	89.7	-	90	-
EAST + STKM 2022.04	90.2	84.6	87.3	-	-
FCENet 2021.04	90.1	82.6	86.2	-	-
CRAFT 2019.11	89.8	84.3	86.9	-	-
Baek et al. 2019.12	89.8	84.3	-	86.9	-
CRAFT 2021.04	89.8	84.3	86.9	-	-
CRAFT 2021.05	89.8	84.3	-	86.9	-
CRAFT 2022.04	89.8	84.3	86.9	-	-
PAN++ 2023.05	89.8	87.5	-	88.6	-
EAST + ST 2022.04	89.6	81.5	85.3	-	-
Lyu et al. [35] 2019.12	89.5	79.7	-	84.3	-
Liu et al. [12] 2019.12	89.4	83.8	-	86.5	-
TextNet 2020.02	89.4	85.4	87.4	-	-
Wang et al. [73] 2019.12	89.2	86	-	87.6	-
CRAFTS 2023.04	89	85.3	87.1	-	-
MANGO 2023.05	89	85.3	-	87.1	-
Our Detection 2018.01	88.84	82.04	85.31	-	-
SPCNet 2019.11	88.7	85.8	87.2	-	-
SPCNet 2019.08	88.7	85.8	87.2	-	-
Xie et al. 2019.12	88.7	85.8	-	87.2	-
PSENet-1s 2021.05	88.7	85.5	-	87.1	-
SPCNet 2020.02	88.7	85.8	87.2	-	-
CCFLAB_FTSN 2018.01	88.65	80.07	84.14	-	-
DRRG 2021.04	88.5	84.7	86.6	-	-
DRRN 2021.05	88.5	84.7	-	86.6	-
SAE 2019.11	88.3	85	86.6	-	-
SAEmbed 2021.04	88.3	85	86.6	-	-
DB 2019.11	88.2	82.7	85.4	-	26
DB 2021.05	88.2	82.7	-	85.4	-
RRD+MS 2018.03	88	80	83.8	-	-
Baseline+MS 2018.03	87.8	78.5	82.8	-	-
Zhong et al. 2019.12	87.8	80.1	-	83.8	-
Liao et al. [14] 2019.12	87.8	78.5	-	82.9	-
Textboxes++ 2021.05	87.8	78.5	-	82.9	-
ContourNet 2021.04	87.6	86.1	86.9	-	-
CounterNet 2021.05	87.6	86.1	-	86.9	-
TextBoxes++ 2019.11	87.2	76.7	81.7	-	11.6
Baseline 2018.03	87.1	76.2	81.3	-	-
He et al. [65] 2019.12	87	86	-	87	-
He et al. 2020.02	87	86	87	-	-
PSENet-1s 2019.11	86.9	84.5	85.7	-	1.6
Wang et al. [37] 2019.12	86.9	84.5	-	85.7	-
PSENet 2021.04	86.9	84.5	85.7	-	-
PSENet-1s 2020.02	86.9	84.5	85.7	-	-
DB 2019.11	86.8	78.4	82.3	-	48
Liu et al. [66] 2019.12	86.6	87.6	-	87.1	-
Liao et al. [71] 2019.12	86.6	87.3	-	87	-
Mask TTD 2021.05	86.6	87.6	-	87.1	-
Mask TextSpotter 2021.05	86.6	87.3	-	87	-
PSENet (VLPT-STD) 2022.04	86	82.8	84.3	-	-
FOTS RT 2018.01	85.95	79.83	82.78	-	-
PSENet 2022.04	85.7	81.8	83.7	-	-
R2CNN 2018.01	85.62	79.68	82.54	-	-
RRD 2018.03	85.6	79	82.2	-	-
RRD 2019.11	85.6	79	82.2	-	6.5
Liao et al. [15] 2019.12	85.6	79	-	82.2	-
Deng et al. 2019.12	85.5	82	-	83.7	-
SAE 2019.11	85.1	84.5	84.8	-	3
FCENet† 2021.04	85.1	84.2	84.6	-	-
TextSnake 2019.11	84.9	80.4	82.6	-	1.1
Long et al. 2019.12	84.9	80.4	-	82.6	-
TextSnake 2021.04	84.9	80.4	82.6	-	-
TextSnake 2020.02	84.9	80.4	82.6	-	-

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