Papers with Code 아카이브

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/olivesgatech/Color-Difference-for-IQA

https://github.com/omarsou/layoutlm_CORD

https://github.com/omihub777/vit-cifar

https://github.com/open-edge-platform/geti

https://github.com/open-edge-platform/training_extensions

https://github.com/opendatalab/PDF-Extract-Kit

https://github.com/orange-opensource/cool-chic

https://github.com/pengzhiliang/MAE-pytorch

https://github.com/phamquiluan/publaynet

https://github.com/pisalore/FRCNN_teX-annotator

https://github.com/pkorus/l3ic

https://github.com/pwc-1/Paper-9/tree/main/layoutlm

https://github.com/pwc-1/Paper-9/tree/main/layoutlmv2

https://github.com/pwc-1/Paper-9/tree/main/layoutlmv3

https://github.com/rezafuru/generalized-octave-convolution-compression

https://github.com/rwightman/pytorch-image-models

https://github.com/s-chh/patchrot

https://github.com/samarthramesh/CDeC-Net

https://github.com/skchen1993/TrangFG

https://github.com/smu-ivpl/DeepfakeDetection

https://github.com/sunsmarterjie/itpn

https://github.com/tensorflow/compression

https://github.com/tensorflow/models/tree/master/research/gan

https://github.com/teresasun/docUnet.pytorch

https://github.com/thibaultdouzon/long-range-document-transformer

https://github.com/thibaultvt/Diard

https://github.com/tianhai123/vit-pytorch

https://github.com/treammm/Compression

https://github.com/ttt496/vit-pytorch

https://github.com/wangyz1608/knowledge-distillation-via-nd

https://github.com/woctezuma/steam-BEiT

https://github.com/xinjie-q/distributed-dvc

https://github.com/xinjie-q/ldmic

https://github.com/yangyucheng000/Papers/tree/main/SSIA

https://github.com/yangyucheng000/University/tree/main/model-2/beit

https://github.com/yangyucheng000/papercode-2/tree/main/layout-diffusion-mindspore