Handwritten Text Recognition On Lam Line

Métriques

Test CER

Test WER

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
GFCN	5.2	18.5	Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
TrOCR	3.6	11.6	TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
OrigamiNet-18	3.1	11.1	OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
OrigamiNet-12	3.1	11.2	OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
OrigamiNet-24	3.0	11.0	OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
HTR-VT	2.8	7.4	HTR-VT: Handwritten Text Recognition with Vision Transformer

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Handwritten Text Recognition On Lam Line | SOTA | HyperAI