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Document Layout Analysis

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 1
평가표: 6
보존된 평가 기록: 30

"Document Layout Analysis is performed to determine physical structure of a document, that is, to determine document components. These document components can consist of single connected components-regions [...] of pixels that are adjacent to form single regions [...] , or group of text lines. A text line is a group of characters, symbols, and words that are adjacent, “relatively close” to each other and through which a straight line can be drawn (usually with horizontal or vertical orientation)." L. O'Gorman, "The document spectrum for page layout analysis," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1162-1173, Nov. 1993.

Image credit: PubLayNet: largest dataset ever for document layout analysis

코드

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

Document Layout Analysis

코드

https://github.com/felipeescallon/layout_parser

https://github.com/finger-monkey/Data-Augmentation

https://github.com/gatech-eic/vitcod

https://github.com/gergely-flamich/relative-entropy-coding

https://github.com/holdfire/CLS

https://github.com/holdfire/FAS

https://github.com/hpanwar08/detectron2

https://github.com/huggingface/transformers

https://github.com/hustvl/vim

https://github.com/ibm-aur-nlp/PubTabNet

https://github.com/ideal-iqa/haarpsi-pytorch

https://github.com/impira/docquery

https://github.com/ipc-lab/DWSIC

https://github.com/ipc-lab/NDIC

https://github.com/ipc-lab/ndic-cam

https://github.com/ivanstepanovftw/glam

https://github.com/jacobgil/vit-explain

https://github.com/jooyoungleeetri/scr

https://github.com/jorge-pessoa/pytorch-gdn

https://github.com/kenAlparslan/Texttract

https://github.com/klieberman/ood_nic

https://github.com/kushalpatil1997/text_to_image_synthesis

https://github.com/leondgarse/keras_cv_attention_models/tree/main/keras_cv_attention_models/beit

https://github.com/liujiaheng/iclr_17_compression

https://github.com/liuxingwt/CLS

https://github.com/lulia0228/Document_IE

https://github.com/makinyilmaz/lhbdc

https://github.com/mandt-lab/improving-inference-for-neural-image-compression

https://github.com/microsoft/dcvc

https://github.com/microsoft/unilm/tree/master/layoutlm

https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/DeiT.py

https://github.com/mmSir/GainedVAE

https://github.com/moein-shariatnia/Pix2Seq

https://github.com/newspapersegmentation/newspaperimagesegmentation

https://github.com/nunenuh/layoutlm.pytorch

https://github.com/nus-hpc-ai-lab/dyvm