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Scene Text Recognition on Union14M (CUR MLO ART CTL SAL MLW GEN Metrics)

91.71CUR (Curve Accuracy)

SVTRv2-AR

Updated 4d ago

Evaluation Results

Method	Links
SVTRv2-AR 2026.02		91.71	94.74	79.44	86.01	86.86	86.29	85.47	87.22
SVTRv2 2026.02		90.6	89	79.3	86.1	86.2	86.7	85.1	86.14
MAERec 2026.02		89.1	87.1	79	84.2	86.3	85.9	84.6	85.17
SMTR 2026.02		89.1	87.7	76.8	83.9	84.6	89.3	83.7	85
SVTRv2-AR 2026.02		88.99	94.45	73.11	80.62	81.68	87.26	74.87	83
PARSeq 2026.02		87.6	88.8	76.5	83.4	84.4	84.3	84.9	84.26
LPV 2026.02		86.2	78.7	75.8	80.2	82.9	81.6	82.9	81.2
CPPD 2026.02		86.2	78.7	76.5	82.9	83.5	81.9	83.5	81.91
OTE 2026.02		86	75.8	74.6	74.7	81	65.3	82.3	77.09
CPPD 2026.02		83.8	90.8	67.11	75.74	70.06	82.04	69.82	77.05
SVTRv2 2026.02		83.39	91.31	67.11	77.41	70.31	83.25	71.1	77.7
BUSNet 2026.02		83	82.3	70.8	77.9	78.8	71.2	82.6	78.1
SMTR 2026.02		80.87	88.31	65.33	76.89	69.24	84.59	71.6	76.69
ABINet 2026.02		80.4	69	71.7	74.7	77.6	76.8	79.8	75.72
MAERec 2026.02		78.94	90.8	68.44	77.02	71.45	83.01	73.29	77.56
LPV 2026.02		78.44	89.85	65	71.63	66.65	81.31	69.25	74.59
SVTR 2026.02		76.2	44.5	67.8	78.7	75.2	77.9	77.8	71.17
SVTR 2026.02		74.73	86.56	62.44	74.45	62.67	81.8	68.67	73.05
BUSNet 2026.02		73.62	87.66	63.44	69.58	62.22	79.61	68.7	72.12
PARSeq 2026.02		73.54	88.31	64.89	72.66	68.48	79.85	70.24	74
OTE 2026.02		73.54	88.31	64.89	72.66	68.48	79.85	70.24	74
ABINet 2026.02		73.04	85.1	58.44	64.31	59.25	77.31	63.98	68.78
ViT-CTC 2026.02		70.03	80.5	58	72.53	68.04	73.06	77.56	71.39
ViT-CTC 2026.02		68.47	84.59	58	71.12	52.24	79.61	65.71	68.53
CRNN 2026.02		48.1	13	51.2	62.3	41.4	60.4	68.2	49.24
CRNN 2026.02		33.59	64.21	36.33	49.29	16.49	65.78	48.98	44.95