HyperAI超神経
ホームニュース最新論文チュートリアルデータセット百科事典SOTALLMモデルGPU ランキング学会
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HyperAI超神経

Table Recognition On Pubtabnet

評価指標

TEDS (all samples)
TEDS-Struct

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
TEDS (all samples)
TEDS-Struct
Paper TitleRepository
TRUST96.297.1TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers-
ConvStem96.53-High-Performance Transformers for Table Structure Recognition Need Early Convolutions
EDD88.3-Image-based table recognition: data, model, and evaluation
LGPMA94.696.7LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment-
TabStruct-Net90.190.1Table Structure Recognition using Top-Down and Bottom-Up Cues
MuTabNet96.87-Multi-Cell Decoder and Mutual Learning for Table Structure and Character Recognition
TableMaster96.76-PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML
SEM93.7-Split, embed and merge: An accurate table structure recognizer-
TSRFormer-97.5TSRFormer: Table Structure Recognition with Transformers-
SLANet96.397.01PP-StructureV2: A Stronger Document Analysis System
RTSR-97Robust Table Detection and Structure Recognition from Heterogeneous Document Images-
NCGM95.4-Neural Collaborative Graph Machines for Table Structure Recognition-
Multi-Task Learning Model96.6797.88An End-to-End Multi-Task Learning Model for Image-based Table Recognition
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