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Text Spotting On Scut Ctw1500

Métriques

F-Measure (%) - Full Lexicon

F-measure (%) - No Lexicon

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	F-Measure (%) - Full Lexicon	F-measure (%) - No Lexicon	Paper Title	Repository
SwinTextSpotter	77.0	51.8	SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition	-
MANGO	78.7	58.9	MANGO: A Mask Attention Guided One-Stage Scene Text Spotter	-
DeepSolo (ResNet-50)	81.4	64.2	DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting	-
TESTR	81.5	56.0	Text Spotting Transformers	-
SPTS	83.8	63.6	SPTS: Single-Point Text Spotting	-
TextPerceptron	-	57.0	Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting	-
TPSNet	79.2	59.7	TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation	-
ABCNet v2	77.2	57.5	ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting	-
TextDragon	72.4	39.7	TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting	-
A3S	82.3	64.4	A3S: Adversarial learning of semantic representations for Scene-Text Spotting	-
ABINet++	80.3	60.2	ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting	-

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Text Spotting On Scut Ctw1500 | SOTA | HyperAI