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Document Image Classification

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평가표: 8
보존된 평가 기록: 49

Document image classification is the task of classifying documents based on images of their contents.

<span style="color:grey; opacity: 0.6">( Image credit: Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/MS-P3/code3/tree/main/lilt

LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding

https://github.com/MS-P3/code7/tree/main/xlm_roberta_xl

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/MindCode-4/code-3/tree/main/deit

DiT: Self-supervised Pre-training for Document Image Transformer

https://github.com/MindCode-4/code-3/tree/main/donut

OCR-free Document Understanding Transformer

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

LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding

https://github.com/MindSpore-scientific/code-7/tree/main/LayoutLMv2

LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

https://github.com/NathanDuran/Sentence-Encoding-for-DA-Classification

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/NormXU/ERNIE-Layout-Pytorch

ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding

https://github.com/Oguzhanercan/Vision-Transformers

Training data-efficient image transformers & distillation through attention

https://github.com/PaddlePaddle/PLSC/tree/master/task/classification/deit

Training data-efficient image transformers & distillation through attention

https://github.com/PaddlePaddle/PaddleClas

Training data-efficient image transformers & distillation through attention

https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/roberta/modeling.py

RoBERTa: A Robustly Optimized BERT Pretraining Approach

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/PaddlePaddle/PaddleOCR

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

https://github.com/RituYadav92/Lightweighted-CNN-for-Document-Classification

Light-Weighted CNN for Text Classification

https://github.com/SindhuMadi/FakeNewsDetection

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/TACJu/TransFG

Training data-efficient image transformers & distillation through attention

https://github.com/Tencent/TurboTransformers

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/UdbhavPrasad072300/Transformer-Implementations

Training data-efficient image transformers & distillation through attention

https://github.com/UnknownGenie/altered-BERT-KPE

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/abdumaa/hiqualprop

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/abhishekanand1710/noiseandbias

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/affjljoo3581/deit3-jax

Training data-efficient image transformers & distillation through attention

https://github.com/ahmedelmahy/myownvit

Training data-efficient image transformers & distillation through attention

https://github.com/aiot-mlsys-lab/famba-v

Training data-efficient image transformers & distillation through attention

https://github.com/aistairc/kirt_bert_on_abci

RoBERTa: A Robustly Optimized BERT Pretraining Approach

https://github.com/alessiomora/unlearning_fl

Training data-efficient image transformers & distillation through attention

https://github.com/alibaba/EasyCV

Training data-efficient image transformers & distillation through attention

https://github.com/aliiafkari/SUT_Dataset

https://github.com/asrafulashiq/deit-custom

Training data-efficient image transformers & distillation through attention

https://github.com/awslabs/mlm-scoring

RoBERTa: A Robustly Optimized BERT Pretraining Approach

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.