Codesota · Benchmark · pubtabnetHome/Leaderboards/Vision & Documents/Table Recognition/pubtabnet
Unknown

pubtabnet.

pubtabnet is a state-of-the-art machine learning benchmark indexed on Codesota. This page tracks published model results, top scores per metric, and the SOTA timeline for pubtabnet.

Paper Leaderboard
§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

Found a wrong score or missing run?
Use row edits to send a sourced correction into moderation.
Add / edit result Report issue

Teds Struct

Teds Struct is the reported evaluation metric for pubtabnet. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Teds Structverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01TFLOP
TFLOP (Full). Test set. IJCAI 2024. Achieves SOTA on PubTabNet test split. arxiv:2501.11800.
verified98.382025Paper ↗Looks wrong?
02UniTable Large
UniTable Large. Table 6, arxiv:2403.04822v2. Self-supervised pretraining, language-modeling objective.
verified97.892024Paper ↗Code ↗Looks wrong?
03Multi-Task Learning Model
From paper: An End-to-End Multi-Task Learning Model for Image-based Table Recognition
verified97.882023Paper ↗Code ↗Looks wrong?
04TABLET
TABLET. Validation set. Table 5, arxiv:2506.07015v1. Encoder-only Transformer, split-merge approach.
verified97.672025Paper ↗Looks wrong?
05UniTabNet
UniTabNet. Table 2, arxiv:2409.13148v1. Image-to-text method. Ties with TSRFormer, SEMv2, SEMv3.
verified97.52024Paper ↗Looks wrong?
06TSRFormer
From paper: TSRFormer: Table Structure Recognition with Transformers
verified97.52022Paper ↗Looks wrong?
07SEMv3
SEMv3. TEDS-Struct on PubTabNet. IJCAI 2024. Score verified from TABLET paper Table 5 cross-reference.
verified97.52024Paper ↗Looks wrong?
08TRUST
From paper: TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers
verified97.12022Paper ↗Looks wrong?
09SLANet
From paper: PP-StructureV2: A Stronger Document Analysis System
verified97.012022Paper ↗Code ↗Looks wrong?
10GridFormer
GridFormer. PubTabNet. Grid vertex/edge prediction approach. arxiv:2309.14962.
verified972023Paper ↗Looks wrong?
11RTSR
From paper: Robust Table Detection and Structure Recognition from Heterogeneous Document Images
verified972022Paper ↗Looks wrong?
12LGPMA
From paper: LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment
verified96.72021Paper ↗Code ↗Looks wrong?
13SPRINT
SPRINT. TEDS-S (structure only) on PubTabNet. Table 4, arxiv:2503.11932. ICDAR 2024. Script-agnostic, 1.52s per image.
verified95.712025Paper ↗Code ↗Looks wrong?
14TabStruct-Net
From paper: Table Structure Recognition using Top-Down and Bottom-Up Cues
verified90.12020Paper ↗Code ↗Looks wrong?

Teds All Samples

Teds All Samples is the reported evaluation metric for pubtabnet. Codesota tracks published model scores on this metric so readers can compare state-of-the-art results across sources and model families.

Higher is better

Trust tiers for Teds All Samplesverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01SEMv3
SEMv3. TEDS on PubTabNet. IJCAI 2024. Score from TABLET paper Table 5 cross-reference.
verified97.32024Paper ↗Looks wrong?
02MuTabNet
From paper: Multi-Cell Decoder and Mutual Learning for Table Structure and Character Recognition
verified96.872024Paper ↗Code ↗Looks wrong?
03TABLET
TABLET. Validation set. Table 5, arxiv:2506.07015v1.
verified96.792025Paper ↗Looks wrong?
04TableMaster
From paper: PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML
verified96.762021Paper ↗Code ↗Looks wrong?
05Multi-Task Learning Model
From paper: An End-to-End Multi-Task Learning Model for Image-based Table Recognition
verified96.672023Paper ↗Code ↗Looks wrong?
06TFLOP
TFLOP (Full). Test set. IJCAI 2024. arxiv:2501.11800.
verified96.662025Paper ↗Looks wrong?
07ConvStem
From paper: High-Performance Transformers for Table Structure Recognition Need Early Convolutions
verified96.532023Paper ↗Code ↗Looks wrong?
08UniTable Large
UniTable Large. Table 6, arxiv:2403.04822v2.
verified96.52024Paper ↗Code ↗Looks wrong?
09SLANet
From paper: PP-StructureV2: A Stronger Document Analysis System
verified96.32022Paper ↗Code ↗Looks wrong?
10TRUST
From paper: TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers
verified96.22022Paper ↗Looks wrong?
11GridFormer
GridFormer. PubTabNet. arxiv:2309.14962.
verified95.842023Paper ↗Looks wrong?
12NCGM
From paper: Neural Collaborative Graph Machines for Table Structure Recognition
verified95.42021Paper ↗Looks wrong?
13LGPMA
From paper: LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment
verified94.62021Paper ↗Code ↗Looks wrong?
14SEM
From paper: Split, embed and merge: An accurate table structure recognizer
verified93.72021Paper ↗Looks wrong?
15TabStruct-Net
From paper: Table Structure Recognition using Top-Down and Bottom-Up Cues
verified90.12020Paper ↗Code ↗Looks wrong?
16EDD
From paper: Image-based table recognition: data, model, and evaluation
verified88.32019Paper ↗Code ↗Looks wrong?
§ 04 · Submit a result

Add to the leaderboard.

← Back to Table Recognition
pubtabnet Leaderboard | CodeSOTA | CodeSOTA