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Handwritten Text Recognition On Lam Line

Metrics

Test CER
Test WER

Results

Performance results of various models on this benchmark

Paper Title
GFCN5.218.5Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
TrOCR3.611.6TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
OrigamiNet-183.111.1OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
OrigamiNet-123.111.2OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
OrigamiNet-243.011.0OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
HTR-VT2.87.4HTR-VT: Handwritten Text Recognition with Vision Transformer
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Handwritten Text Recognition On Lam Line | SOTA | HyperAI