Papers › DocFormer: End-to-End Transformer for Document Understanding

DocFormer: End-to-End Transformer for Document Understanding

22 Jun 2021ICCV 2021 10arXiv:2106.11539archive 2025-07-28

Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, R. Manmatha

We present DocFormer -- a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU). VDU is a challenging problem which aims to understand documents in their varied formats (forms, receipts etc.) and layouts. In addition, DocFormer is pre-trained in an unsupervised fashion using carefully designed tasks which encourage multi-modal interaction. DocFormer uses text, vision and spatial features and combines them using a novel multi-modal self-attention layer. DocFormer also shares learned spatial embeddings across modalities which makes it easy for the model to correlate text to visual tokens and vice versa. DocFormer is evaluated on 4 different datasets each with strong baselines. DocFormer achieves state-of-the-art results on all of them, sometimes beating models 4x its size (in no. of parameters).

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shabie/docformer mentioned on GitHubpytorch report

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MultiModalAttentionLayer shabie/docformer/src/docformer/modeling.py community (archive-listed) ran MIT (permissive) · 08d9b843959a11da · report
PositionalEncoding shabie/docformer/src/docformer/modeling.py community (archive-listed) ran MIT (permissive) · 95c11b9646ef2995 · report
PreNormAttn shabie/docformer/src/docformer/modeling.py community (archive-listed) ran MIT (permissive) · 9d44110b605b91c8 · report
RelativePosition shabie/docformer/src/docformer/modeling.py community (archive-listed) ran MIT (permissive) · 2485d54f61db9f8d · report
ResNetFeatureExtractor shabie/docformer/src/docformer/modeling.py community (archive-listed) ran MIT (permissive) · 3c51327ee452d265 · report
DocFormer shabie/docformer/src/docformer/modeling.py community (archive-listed) unverified MIT (permissive) · b7af5dd1c0383ff1 · report
DocFormerEmbeddings shabie/docformer/src/docformer/modeling.py community (archive-listed) unverified MIT (permissive) · 4006b85007037117 · report
DocFormerEncoder shabie/docformer/src/docformer/modeling.py community (archive-listed) unverified MIT (permissive) · 682dbc1c67b2b9df · report
ExtractFeatures shabie/docformer/src/docformer/modeling.py community (archive-listed) unverified MIT (permissive) · 714cd85a4f672596 · report
LanguageFeatureExtractor shabie/docformer/src/docformer/modeling.py community (archive-listed) unverified MIT (permissive) · 330baaddd559fac9 · report

Tasks

Document Image Classificationdocument understanding

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Document Image Classification RVL-CDIP DocFormerBASE Accuracy 96.17% #3 of 31 Archive leaderboard report
Document Image Classification RVL-CDIP DocFormerBASE Parameters 183M #3 of 31 Archive leaderboard report
Document Image Classification RVL-CDIP DocFormer large Accuracy 95.50% #8 of 31 Archive leaderboard report
Document Image Classification RVL-CDIP DocFormer large Parameters 536M #8 of 31 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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