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Handwritten Mathmatical Expression 1

Métriques

ExpRate

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
ExpRate
Paper TitleRepository
ICAL58.79ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition-
BTTR52.31Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer-
DenseWAP-MSA50.1Multi-Scale Dense Networks for Resource Efficient Image Classification-
PosFormer60.94PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer-
DenseWAP47.5Multi-Scale Dense Networks for Resource Efficient Image Classification-
NAMER60.24NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition-
TD48.5A Tree-Structured Decoder for Image-to-Markup Generation
TAMER60.26TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition-
TDv255.18TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition-
ABM52.92Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning-
CAN-DWAP56.06When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition-
WAP44.55Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition
CoMER56.98CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition-
SAN53.6Syntax-Aware Network for Handwritten Mathematical Expression Recognition-
CAN-ABM56.15When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition-
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