Who leads the aapd benchmark?

KD-LSTMreg currently leads aapd with a score of 72.9 on F1.

What is the state-of-the-art score on aapd?

The state-of-the-art result on aapd is 72.9 (F1), achieved by KD-LSTMreg as of 2020.

How many models are tracked on aapd?

Codesota tracks 2 models on aapd.

When was the aapd leaderboard last updated?

The aapd leaderboard on Codesota includes results through 2020, with the earliest tracked result from 2019.

Codesota · Benchmark · aapdHome/Leaderboards/Vision & Documents/Document OCR/aapd

Unknown

aapd.

Name: aapd Benchmark Results
Creator: Unknown
Published: 2019-01-01
License: https://creativecommons.org/licenses/by/4.0/

aapd 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 aapd.

Paper ↗Leaderboard ↓

§ 01 · SOTA history

Year over year.

§ 02 · Leaderboard

Results by metric.

Only 2 models on this benchmark

Help build the community leaderboard — submit your model results.

Found a wrong score or missing run?

Use row edits to send a sourced correction into moderation.

Add / edit result ↗Report issue ↗

F1

F1 is the reported evaluation metric for aapd. 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 F1verifiedpapervendorcommunityunverified

Rank	Model	Trust	Score	Year	Links	Fix
01	KD-LSTMreg From paper: DocBERT: BERT for Document Classification	verified	72.9	2019	Paper ↗Code ↗	Looks wrong?
02	MAGNET From paper: MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network	verified	69.6	2020	Paper ↗Code ↗	Looks wrong?

§ 04 · Submit a result

Add to the leaderboard.

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