https://github.com/2024-MindSpore-1/Code3/tree/main/VI-LayoutXLM
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
Papers with Code 아카이브
Key Information Extraction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 6
- 보존된 평가 기록
- 20
Key Information Extraction (KIE) is aimed at extracting structured information (e.g. key-value pairs) from form-style documents (e.g. invoices), which makes an important step towards intelligent document understanding.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BordiaS/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/MS-P3/code3/tree/main/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/MS-P3/code3/tree/main/layoutlmv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/MS-P3/code3/tree/main/lilt
https://github.com/MindCode-4/code-3/tree/main/donut
https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlmv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/MindSpore-scientific-2/code-14/tree/main/layoutlmv3
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
https://github.com/MindSpore-scientific-2/code-14/tree/main/lilt
https://github.com/MindSpore-scientific/code-7/tree/main/LayoutLMv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/NormXU/ERNIE-Layout-Pytorch
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/layoutlmv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/layoutxlm
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
https://github.com/WinterShiver/Token-Path-Prediction
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
https://github.com/code-implementation1/Code9/tree/main/OCRNet
https://github.com/cydal/LayoutML_pytorch
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/doc-analysis/DocBank
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/facebookresearch/data2vec_vision
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/huggingface/transformers
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/impira/docquery
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/kenAlparslan/Texttract
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/lamps-lab/ETDMiner
https://github.com/lulia0228/Document_IE
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/microsoft/unilm/tree/master/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/nunenuh/layoutlm.pytorch
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/omarsou/layoutlm_CORD
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/pwc-1/Paper-9/tree/main/layoutlm
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/pwc-1/Paper-9/tree/main/layoutlmv2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/pwc-1/Paper-9/tree/main/layoutlmv3
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
https://github.com/pwc-1/Paper-9/tree/main/lilt
https://github.com/thibaultdouzon/long-range-document-transformer
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
https://github.com/yangyucheng000/papercode-2/tree/main/layout-diffusion-mindspore
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.