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Scene Text Recognition on Union14M L (test)

76.8Curve AccuracySVTR-L
4.72823.43942.1560.861Jul 23, 2023

Evaluation results

MethodLinks
SVTR-LEncoder=SVTR-Large, Input Size=48 x 1602023.0776.845.255.26373.848.964.261.01
SVTR-B-CPPDEncoder=SVTR-Base, Input Size=48 x 1602023.0771.922.160.567.978.363.967.161.69
SVTR-BEncoder=SVTR-Base, Input Size=48 x 1602023.0769.837.747.961.466.844.86155.63
NRTR-CPPDEncoder=SVTR-Base, Input Size=32 × 1002023.0769.52159.564.274.165.56760.1
CDisNetEncoder=ResNet+En, Input Size=32 x 1282023.0769.324.449.855.672.864.358.556.38
LPV-BEncoder=SVTR-Base, Input Size=48 x 1602023.0768.32159.665.176.263.66259.4
PARSeq-CPPDEncoder=SVTR-Base, Input Size=32 × 1002023.0767.11958587461.963.957.19
ABINet-CPPDEncoder=SVTR-Base, Input Size=32 × 1002023.0766.419.157.356.772.855.86556.19
SVTR-B-NRTREncoder=SVTR-Base, Input Size=32 × 1002023.0766.219.45458.870.561.365.356.49
SVTR-B-CPPDEncoder=SVTR-Base, Input Size=32 × 1002023.0765.518.65661.97157.565.856.63
PARSeq-BEncoder=SVTR-Base, Input Size=32 × 1002023.0763.916.752.554.368.255.956.952.62
SRNEncoder=ResNet+FPN, Input Size=64 x 2562023.0763.425.334.128.756.526.746.340.14
SVTR-TEncoder=SVTR-Tiny, Input Size=32 × 1002023.076332.137.944.267.549.152.849.51
ABINet-BEncoder=SVTR-Base, Input Size=32 × 1002023.0762.313.95045.167.153.458.550.07
CTC-CPPDEncoder=SVTR-Base, Input Size=32 × 1002023.0761.315.653.259.269.459.663.854.6
SVTR-T-NRTREncoder=SVTR-Tiny, Input Size=32 × 1002023.0760.823.246.443.65938.755.646.76
ABINetEncoder=ResNet+En, Input Size=32 x 1282023.0759.512.743.338.36250.855.646.03
VisionLANEncoder=ResNet+En, Input Size=64 x 2562023.0757.714.247.8486447.952.147.39
SVTR-T-CPPDEncoder=SVTR-Tiny, Input Size=32 × 1002023.0752.412.348.254.461.553.461.449.1
SAREncoder=ResNet, Input Size=48 x 1602023.0744.37.742.644.24451.250.540.64
RobustScannerEncoder=ResNet, Input Size=48 x 1602023.0743.67.941.242.644.946.939.538.09
ASTEREncoder=ResNet, Input Size=32 × 1002023.073410.227.73348.227.639.831.5
NRTREncoder=CNN+En, Input Size=32 x 1002023.0731.74.436.637.330.654.94834.79
CRNNEncoder=ResNet+BiLSTM, Input Size=32 × 1002023.077.50.920.725.613.925.63218.03