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
document understanding
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Document understanding involves document classification, layout analysis, information extraction, and DocQA.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DS4SD/MarkushGrapher
Unifying Vision, Text, and Layout for Universal Document Processing
https://github.com/EncryptedBinary/Meta_analysis
Financial Report Chunking for Effective Retrieval Augmented Generation
https://github.com/JingfenQiao/ColPali-Reproducibility
ColPali: Efficient Document Retrieval with Vision Language Models
https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/10.3.Clinical_RE_SparkNLP_Paper_Reproduce.ipynb
Deeper Clinical Document Understanding Using Relation Extraction
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/MS-P3/code4/tree/main/wukong
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding
https://github.com/MindCode-4/code-3/tree/main/donut
https://github.com/MindCode-4/code-5/tree/main/udop
Unifying Vision, Text, and Layout for Universal Document Processing
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/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/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/RajArPatra/Super-OCR
A Survey of Deep Learning Approaches for OCR and Document Understanding
https://github.com/Tixierae/gow_tools
Message Passing Attention Networks for Document Understanding
https://github.com/Ucas-HaoranWei/Vary
Focus Anywhere for Fine-grained Multi-page Document Understanding
https://github.com/abhijeet3922/vision-RAG
ColPali: Efficient Document Retrieval with Vision Language Models
https://github.com/adlnlp/Chulo
ChuLo: Chunk-Level Key Information Representation for Long Document Processing
https://github.com/antoinedelplace/chargrid
https://github.com/bobxwu/topmost
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
https://github.com/code-implementation1/Code9/tree/main/OCRNet
https://github.com/doc-doc/NExT-OE
PaLI-X: On Scaling up a Multilingual Vision and Language Model
https://github.com/ds4sd/deepsearch-toolkit
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness
https://github.com/facebookresearch/data2vec_vision
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/herobd/NAF_dataset
End-to-end Document Recognition and Understanding with Dessurt
https://github.com/huggingface/transformers
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
https://github.com/illuin-tech/colpali
ColPali: Efficient Document Retrieval with Vision Language Models
https://github.com/illuin-tech/grouse
ColPali: Efficient Document Retrieval with Vision Language Models
https://github.com/illuin-tech/vidore-benchmark
ColPali: Efficient Document Retrieval with Vision Language Models
https://github.com/impira/docquery
https://github.com/infly-ai/inf-mllm
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing
https://github.com/kyegomez/PALI
PaLI-X: On Scaling up a Multilingual Vision and Language Model
https://github.com/likaixin2000/screenspot-pro-gui-grounding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.