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SotA/Computer Vision/Document Layout Analysis/PubLayNet val

Document Layout Analysis on PubLayNet val

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#Model↕Figure▼Extra DataPaperDate↕Code
1DETR0.975NoBridging the Performance Gap between DETR and R-...2023-06-23-
2DiT-L0.972NoDiT: Self-supervised Pre-training for Document I...2022-03-04Code
3VGT0.971NoVision Grid Transformer for Document Layout Anal...2023-08-29Code
4LayoutLMv3-B0.97NoLayoutLMv3: Pre-training for Document AI with Un...2022-04-18Code
5DoPTA0.97NoDoPTA: Improving Document Layout Analysis using ...2024-12-17-
6ResNext-101-32×8d0.968NoVision Grid Transformer for Document Layout Anal...2023-08-29Code
7TRDLU0.966No---
8VSR0.964NoVSR: A Unified Framework for Document Layout Ana...2021-05-13Code
9UDoc0.964NoUnified Pretraining Framework for Document Under...2022-04-22-
10DeiT-B0.957NoTraining data-efficient image transformers & dis...2020-12-23Code
11BEiT-B0.957NoBEiT: BERT Pre-Training of Image Transformers2021-06-15Code
12Mask RCNN0.949NoPubLayNet: largest dataset ever for document lay...2019-08-16Code
13Faster RCNN0.937NoPubLayNet: largest dataset ever for document lay...2019-08-16Code
14GLAM0.206NoA Graphical Approach to Document Layout Analysis2023-08-03Code