Papers with Code 아카이브
Scene Text Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 15
- 보존된 평가 기록
- 190
See Scene Text Detection for leaderboards in this task.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/LevOCR
공식 코드https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/MGP-STR
공식 코드https://github.com/Alpaca07/dtr
공식 코드Focus-Enhanced Scene Text Recognition with Deformable Convolutions
https://github.com/AutoML-4Paradigm/AutoSTR
공식 코드AutoSTR: Efficient Backbone Search for Scene Text Recognition
https://github.com/Bartzi/kiss
공식 코드https://github.com/Bartzi/see
공식 코드SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
https://github.com/Bartzi/stn-ocr
공식 코드STN-OCR: A single Neural Network for Text Detection and Text Recognition
https://github.com/Bhashini-IITJ/visualTranslation
공식 코드https://github.com/Canjie-Luo/MORAN_v2
공식 코드A Multi-Object Rectified Attention Network for Scene Text Recognition
https://github.com/Canjie-Luo/Scene-Text-Image-Transformer
공식 코드https://github.com/CyrilSterling/LPV
공식 코드Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition
https://github.com/FangShancheng/ABINet
공식 코드https://github.com/HCIILAB/Scene-Text-Recognition
공식 코드https://github.com/ICMLA-SAFL/SAFL_pytorch
공식 코드SAFL: A Self-Attention Scene Text Recognizer with Focal Loss
https://github.com/Jianf-Wang/GRCNN
공식 코드Convolutional Neural Networks with Gated Recurrent Connections
https://github.com/Jyouhou/Case-Sensitive-Scene-Text-Recognition-Datasets
공식 코드UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
https://github.com/Jyouhou/UnrealText
공식 코드UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
https://github.com/KhaLee2307/StrDA
공식 코드Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition
https://github.com/MauritsBleeker/Bi-STET
공식 코드https://github.com/Media-Smart/vedastr
공식 코드Revisiting Classification Perspective on Scene Text Recognition
https://github.com/MhLiao/MaskTextSpotter
공식 코드Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
https://github.com/MhLiao/TextBoxes_plusplus
공식 코드https://github.com/Mona9955/RCEED-ICDAR2021
공식 코드Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition
https://github.com/Mountchicken/Union14M
공식 코드https://github.com/PaddlePaddle/PaddleOCR
공식 코드https://github.com/Pay20Y/GCAN
공식 코드Gaussian Constrained Attention Network for Scene Text Recognition
https://github.com/Pay20Y/SEED
공식 코드SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
https://github.com/RuijieJ/pren
공식 코드Primitive Representation Learning for Scene Text Recognition
https://github.com/VDIGPKU/IterNet
공식 코드IterVM: Iterative Vision Modeling Module for Scene Text Recognition
https://github.com/Wang-Tianwei/Decoupled-attention-network
공식 코드https://github.com/Wei-ucas/TPSNet
공식 코드TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation
https://github.com/Xiaomeng-Yang/IPAD
공식 코드IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition
https://github.com/Xiaomeng-Yang/MPSTR
공식 코드Masked and Permuted Implicit Context Learning for Scene Text Recognition
https://github.com/YesianRohn/TextSSR
공식 코드TextSSR: Diffusion-based Data Synthesis for Scene Text Recognition
https://github.com/adeline-cs/GTR
공식 코드Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.