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Scene Text Detection On Icdar 2017 Mlt 1

評価指標

F-Measure
Precision
Recall

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
F-Measure
Precision
Recall
Paper TitleRepository
FOTS MS70.75%81.8662.3FOTS: Fast Oriented Text Spotting with a Unified Network-
GNNets74.54%79.6370.06Geometry Normalization Networks for Accurate Scene Text Detection-
CharNet R-50 73.42%77.0770.1Convolutional Character Networks-
PMTD*80.13%84.4276.25Pyramid Mask Text Detector-
FOTS67.25%80.9557.51FOTS: Fast Oriented Text Spotting with a Unified Network-
SBD79.47%82.7576.44Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection-
CharNet H-8875.77%81.2770.97Convolutional Character Networks-
CRAFT-80.668.2Character Region Awareness for Text Detection-
PAN74.3%8069.8Mask R-CNN with Pyramid Attention Network for Scene Text Detection-
Corner Localization (single-scale)66.8%83.855.6Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation-
SPCNET74.1%80.668.6Scene Text Detection with Supervised Pyramid Context Network-
PSENet (ResNet-152)72.13%75.3569.18Shape Robust Text Detection with Progressive Scale Expansion Network-
Corner Localization (multi-scale)72.4%74.370.6Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation-
PSENet-1s72.45%77.0168.4Shape Robust Text Detection with Progressive Scale Expansion Network-
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Scene Text Detection On Icdar 2017 Mlt 1 | SOTA | HyperAI超神経