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Handwritten Mathmatical Expression Recognition

Offline Handwritten mathematical Expression Recognition aims to convert 2D images into a 1D structured sequences(LaTeX or MathML)

Papers

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Showing 1–10 of 16 papers

TitleStatusHype
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression RecognitionCode1
TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression RecognitionCode1
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition—0
PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest TransformerCode2
ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression RecognitionCode1
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression RecognitionCode2
CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression RecognitionCode1
TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Syntax-Aware Network for Handwritten Mathematical Expression RecognitionCode1
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All datasetsCROHME 2014CROHME 2016CROHME 2019HME100K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Uni-MuMERExpRate77.94—Unverified
2PosFormerExpRate60.94—Unverified
3TAMERExpRate60.26—Unverified
4NAMERExpRate60.24—Unverified
5ICALExpRate58.79—Unverified
6CoMERExpRate56.98—Unverified
7CAN-ABMExpRate56.15—Unverified
8CAN-DWAPExpRate56.06—Unverified
9TDv2ExpRate55.18—Unverified
10SANExpRate53.6—Unverified