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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Handwritten Mathmatical Expression 3

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이 벤치마크에서 각 모델의 성능 결과

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Paper TitleRepository
TD62.6A Tree-Structured Decoder for Image-to-Markup Generation
TAMER68.52TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition-
CAN-DWAP67.31When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition-
PosFormer69.51PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer-
ABM65.93Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning-
NAMER68.52NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition-
BTTR64.1Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer-
ICAL69.06ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition-
CoMER68.12CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition-
DenseWAP61.85Multi-Scale Dense Networks for Resource Efficient Image Classification-
CAN-ABM68.09When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition-
SAN67.1Syntax-Aware Network for Handwritten Mathematical Expression Recognition-
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