Codesota · Benchmark · table-recognition-challenge-mini-testHome/Leaderboards/Vision & Documents/Table Recognition/table-recognition-challenge-mini-test
Unknown

table-recognition-challenge-mini-test.

table-recognition-challenge-mini-test 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 table-recognition-challenge-mini-test.

Paper ↗Leaderboard ↓
§ 01 · 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 Simple Samples

Teds Simple Samples is the reported evaluation metric for table-recognition-challenge-mini-test. 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 Simple Samplesverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01Re0
From paper: Unknown
verified98.35N/AN/ALooks wrong?
02Hierarchical Table Recognizer
Hierarchical Table Recognizer (Kawakatsu, Dec 2025). Current SOTA on evaluation set. arXiv:2512.21083.
paper98.12026Source ↗Looks wrong?
03MuTabNet
MuTabNet (ICDAR 2024), multi-cell decoder + mutual learning. Evaluation set. arXiv:2404.13268, Table 4 of arXiv:2512.21083.
paper98.012026Source ↗Looks wrong?
04Davar-Lab-OCR
ICDAR 2021 SLP Task B 1st-place winner (Hikvision Davar Lab). Evaluation set score from Table 4 of arXiv:2512.21083.
paper97.882026Source ↗Looks wrong?
05MTL-TabNet (LA)
Ly & Takasu 2023 local-attention variant (Nam23LA), best Ly variant. arXiv:2303.08648. Evaluation set score from Table 4 of arXiv:2512.21083.
paper97.772026Source ↗Looks wrong?
06MTL-TabNet (GA)
Ly & Takasu 2023 global-attention variant (Nam23GA). Evaluation set score from Table 4 of arXiv:2512.21083.
paper97.62026Source ↗Looks wrong?
07XM
ICDAR 2021 SLP Task B evaluation set. Score from Table 4 of arXiv:2512.21083.
paper97.62026Source ↗Looks wrong?
08MTL-TabNet (WS)
Ly et al. 2023 weakly-supervised variant (Nam23WS). Evaluation set score from Table 4 of arXiv:2512.21083.
paper97.512026Source ↗Looks wrong?
09VCGroup
From paper: Unknown
verified97.11N/AN/ALooks wrong?
10EDD
From paper: Unknown
verified95.07N/AN/ALooks wrong?
11Habitat-Web
From paper: Unknown
verified95.07N/AN/ALooks wrong?

Teds All Samples

Teds All Samples is the reported evaluation metric for table-recognition-challenge-mini-test. 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
01Hierarchical Table Recognizer
Hierarchical Table Recognizer (Kawakatsu, Dec 2025). Current SOTA on evaluation set. arXiv:2512.21083.
paper96.622026Source ↗Looks wrong?
02MuTabNet
MuTabNet (ICDAR 2024), multi-cell decoder + mutual learning. Evaluation set. arXiv:2404.13268, Table 4 of arXiv:2512.21083.
paper96.532026Source ↗Looks wrong?
03Davar-Lab-OCR
ICDAR 2021 SLP Task B 1st-place winner (Hikvision Davar Lab). Evaluation set score from Table 4 of arXiv:2512.21083.
paper96.362026Source ↗Looks wrong?
04XM
ICDAR 2021 SLP Task B evaluation set. Score from Table 4 of arXiv:2512.21083.
paper96.272026Source ↗Looks wrong?
05MTL-TabNet (LA)
Ly & Takasu 2023 local-attention variant (Nam23LA), best Ly variant. arXiv:2303.08648. Evaluation set score from Table 4 of arXiv:2512.21083.
paper96.212026Source ↗Looks wrong?
06MTL-TabNet (GA)
Ly & Takasu 2023 global-attention variant (Nam23GA). Evaluation set score from Table 4 of arXiv:2512.21083.
paper96.172026Source ↗Looks wrong?
07MTL-TabNet (WS)
Ly et al. 2023 weakly-supervised variant (Nam23WS). Evaluation set score from Table 4 of arXiv:2512.21083.
paper95.972026Source ↗Looks wrong?
08Re0
From paper: Unknown
verified95.66N/AN/ALooks wrong?
09VCGroup
From paper: Unknown
verified95.04N/AN/ALooks wrong?
10Habitat-Web
From paper: Unknown
verified89.97N/AN/ALooks wrong?
11EDD
From paper: Unknown
verified89.97N/AN/ALooks wrong?

Teds Complex Samples

Teds Complex Samples is the reported evaluation metric for table-recognition-challenge-mini-test. 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 Complex Samplesverifiedpapervendorcommunityunverified
RankModelTrustScoreYearLinksFix
01Hierarchical Table Recognizer
Hierarchical Table Recognizer (Kawakatsu, Dec 2025). Current SOTA on evaluation set. arXiv:2512.21083.
paper95.082026Source ↗Looks wrong?
02MuTabNet
MuTabNet (ICDAR 2024), multi-cell decoder + mutual learning. Evaluation set. arXiv:2404.13268, Table 4 of arXiv:2512.21083.
paper94.982026Source ↗Looks wrong?
03XM
ICDAR 2021 SLP Task B evaluation set. Score from Table 4 of arXiv:2512.21083.
paper94.892026Source ↗Looks wrong?
04Davar-Lab-OCR
ICDAR 2021 SLP Task B 1st-place winner (Hikvision Davar Lab). Evaluation set score from Table 4 of arXiv:2512.21083.
paper94.782026Source ↗Looks wrong?
05MTL-TabNet (GA)
Ly & Takasu 2023 global-attention variant (Nam23GA). Evaluation set score from Table 4 of arXiv:2512.21083.
paper94.682026Source ↗Looks wrong?
06MTL-TabNet (LA)
Ly & Takasu 2023 local-attention variant (Nam23LA), best Ly variant. arXiv:2303.08648. Evaluation set score from Table 4 of arXiv:2512.21083.
paper94.582026Source ↗Looks wrong?
07MTL-TabNet (WS)
Ly et al. 2023 weakly-supervised variant (Nam23WS). Evaluation set score from Table 4 of arXiv:2512.21083.
paper94.372026Source ↗Looks wrong?
08VCGroup
From paper: Unknown
verified92.96N/AN/ALooks wrong?
09Re0
From paper: Unknown
verified92.96N/AN/ALooks wrong?
10EDD
From paper: Unknown
verified84.86N/AN/ALooks wrong?
11Habitat-Web
From paper: Unknown
verified84.86N/AN/ALooks wrong?
§ 04 · Submit a result

Add to the leaderboard.

← Back to Table Recognition