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Text Detection on ICDAR MLT 2017 (test)

85.15Precision

PMTD

Updated 4d ago

Evaluation Results

Method
PMTD 2019.03	85.15	72.77	78.48
Baseline 2019.03	84.72	70.37	76.88
PMTD 2019.03	84.42	76.25	80.13
Pixel-Anchor 2019.03	83.9	65.8	73.76
Lyu et al. 2018.06	83.8	55.6	66.8
Proposed Method 2018.02	83.8	55.6	66.8
Lyu et al. 2018.11	83.8	55.6	66.8
Lyu et al. 2019.03	83.8	55.6	66.8
Lyu et al. 2019.03	83.8	55.6	66.8
Lyu et al. 2019.06	83.8	55.6	66.8
SBD 2019.06	83.6	70.1	76.3
Liu et al. 2019.12	83.6	70.1	76.3
Orderless Box Discretization 2019.12	82.75	76.44	79.47
MOST 2022.03	82	72	76.7
FOTS 2018.01	81.86	62.3	70.75
FOTS 2019.03	81.86	62.3	70.75
Liu et al. 2019.06	81.86	62.3	70.75
FOTS 2019.10	81.86	62.3	70.75
FOTS 2019.12	81.86	62.3	70.75
FOTS 2018.11	81.8	62.3	70.7
CharNet 2019.10	81.27	70.97	75.77
FOTS 2018.01	80.95	57.51	67.25
FOTS 2018.06	80.95	57.51	67.25
FOTS 2019.03	80.95	57.51	67.25
FOTS 2019.09	80.95	57.51	67.25
FOTS 2019.10	80.95	57.51	67.25
SPCNET 2018.11	80.6	68.6	74.1
CRAFT 2019.12	80.6	68.2	73.9
CRAFT 2022.03	80.6	68.2	73.9
SCUT_DLVClab1 2018.02	80.3	54.5	65
SCUT DLVClab1 2018.11	80.3	54.5	65
SCUT_DLVClab1 2018.01	80.28	54.54	64.96
SCUT DLVClab1 2018.06	80.28	54.54	64.96
SCUT DLVClab1 2019.03	80.28	54.54	64.96
Nayef et al. 2019.06	80.28	62.3	64.96
SCUT DLVClab1 2019.09	80.28	54.54	64.96
SCUT_DLVClab 2019.10	80.28	54.54	64.96
SCUT_DLVClab1 2019.12	80.28	62.3	64.96
SCUT DLVClab1 2018.11	80.2	54.5	64.9
PAN 2018.11	80	69.8	74.3
Huang et al. 2019.03	80	69.8	74.3
e2e_ctc01_multi_scale 2018.02	79.8	61.2	69.3
GNNets 2019.09	79.63	70.06	74.54
Pixel-Anchor 2019.03	79.54	59.54	68.1
Pixel-Anchor 2019.09	79.54	59.54	68.1
FOTS (Detection Only) 2018.01	79.48	57.45	66.69
Unified Detector 2022.03	78.05	76.44	77.24
Unified Detector 2022.03	77.71	75.88	76.78
CharNet 2019.10	77.07	70.1	73.42
PSENet 2018.06	77.01	68.4	72.45
PSENet 2019.03	77.01	68.4	72.45
PSENet 2018.06	76.97	68.35	72.4
PSENet 2019.09	76.97	68.35	72.4
PSENet (reimplemented) 2019.09	75.99	69.75	72.74
PSENet 2018.06	75.98	67.56	71.52
PSENet 2019.03	75.35	69.18	72.13
PSENet 2022.03	75.3	69.2	72.2
Zhong et al. 2019.06	75	66	70
AF-RNN 2019.12	75	66	70
Proposed Method 2018.02	74.3	70.6	72.4
Lyu et al. 2018.11	74.3	70.6	72.4
Lyu et al. 2019.03	74.3	70.6	72.4
Lyu et al. 2019.12	74.3	70.6	72.4
PSENet 2019.03	73.77	68.21	70.88
SPCNET 2018.11	73.4	66.9	70
SARI_FDU_RRPN_V1 2018.02	71.2	55.5	62.4
SARI FDU RRPN V1 2018.11	71.2	55.5	62.4
SARI_FDU_RRPN_v1 2018.01	71.17	55.5	62.37
SARI FDU RRPN v1 2018.06	71.17	55.5	62.37
SARI FDU RRPN v1 2018.11	71.17	55.5	62.3
SARI FDU RRPN v1 2019.03	71.17	55.5	62.37
Ma et al. 2019.06	71.17	55.5	62.37
SARI FDU RRPN v1 2019.09	71.17	55.5	62.37
SARI_FDU_RRPN 2019.10	71.17	55.5	62.37
SARI FDU RRPN v1 2019.12	71.17	55.5	62.37
Baseline 2018.11	69.2	62.2	65.5
SPCNET 2019.03	68.6	80.6	74.1
TH-DL 2018.02	67.8	34.8	46
TH-DL 2018.11	67.8	34.8	46
TH-DL 2018.01	67.75	34.78	45.97
TH-DL 2018.06	67.75	34.78	45.97
TH-DL 2019.03	67.75	34.78	45.97
Nayef et al. 2019.06	67.75	34.78	45.97
TH-DL 2019.12	67.75	34.78	45.97
Sensetime OCR 2019.12	67.75	69	68.37
SPCNET 2019.03	66.9	73.4	70
EAST++ 2019.09	66.61	80.42	72.86
TDN_SJTU2017 2018.01	64.27	47.13	54.38
TDN SJTU2017 2018.06	64.27	47.13	54.38
TDN SJTU2017 2019.03	64.27	47.13	54.38
TDN SJTU2017 2019.09	64.27	47.13	54.38
TDN SJTU2017 2018.11	64.2	47.1	54.3
Sensetime OCR 2018.02	56.9	69.4	62.6
Sensetime OCR 2018.11	56.9	69.4	62.6
Ma et al. 2019.06	55	67	61
SARI FDU RRPN v2 2019.12	55	67	61
linkage-ER-Flow 2018.01	44.48	25.59	32.49
linkage-ER-Flow 2018.06	44.48	25.59	32.49
linkage-ER-Flow 2019.03	44.48	25.59	32.49
Nayef et al. 2019.06	44.48	25.59	32.49

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