Papers with Code 아카이브
Optical Character Recognition (OCR)
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 10
- 평가표
- 6
- 보존된 평가 기록
- 20
Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars...) or from subtitle text superimposed on an image (for example: from a television broadcast)
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/vashiegaran/DE-GAN-Implementation-Using-PyTorch
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
https://github.com/verena-hallitschke/pet-ct-annotate
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
https://github.com/visualwebbench/visualwebbench
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?
https://github.com/wabbajack1/tapd
Progress & Compress: A scalable framework for continual learning
https://github.com/wacr2008/tensorflow_crnn
https://github.com/walzimmer/3d-bat
ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection
https://github.com/wanglibing727/DAN_pytorch
https://github.com/wangrui1996/crnnLicensePlateRecognition
https://github.com/wangyu-ovo/mml
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
https://github.com/wannature/BoostMIS
https://github.com/webis-de/acl-22
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers
https://github.com/weijiawu/Unconstrained-Text-Detection-with-Box-Supervisionand-Dynamic-Self-Training
https://github.com/weinman/cnn_lstm_ctc_ocr
https://github.com/wenxuanou/SRAAL_Realization
https://github.com/whai362/PSENet
Shape Robust Text Detection with Progressive Scale Expansion Network
https://github.com/widmi/widis-lstm-tools
https://github.com/willwx/sign-symmetry
https://github.com/witcher425/CHINESEOCR
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
https://github.com/xialeiliu/RankIQA
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
https://github.com/xiaofengShi/CHINESE-OCR
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
https://github.com/xiaomore/document-image-dewarping
DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction
https://github.com/xiaoyu258/DocProj
Document Rectification and Illumination Correction using a Patch-based CNN
https://github.com/xmy0916/pytorch_crnn
https://github.com/xuannianz/DifferentiableBinarization
Real-time Scene Text Detection with Differentiable Binarization
https://github.com/xusongpei/crnn-ctc
https://github.com/xxxnhb/few-shot-gnn
https://github.com/yakhyo/east-pytorch
https://github.com/yanan0122/dbnet-and-dbnet_pp-by-mind-spore
Real-time Scene Text Detection with Differentiable Binarization
https://github.com/yangyucheng000/Paper-2/tree/main/lstm-gaf
https://github.com/yangyucheng000/Paper-4/tree/main/JLONMFSC
Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
https://github.com/yangyucheng000/Paper-4/tree/main/OCR_MindSpore
https://github.com/yangyucheng000/Paper-4/tree/main/TAA_MindSpore
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
https://github.com/yangyucheng000/University/tree/main/model-1/pix2struct
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
https://github.com/yangyucheng000/essay-recogination
https://github.com/yangyucheng000/papercode-2/tree/main/JLONMFSC-master
Optimal Projections for Discriminative Dictionary Learning using the JL-lemma
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.