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/chandan5362/Indian-Number-Plate-Recognition
https://github.com/chauthehan/CRNN_OCR_CMND
https://github.com/chibohe/CdistNet-pytorch
CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition
https://github.com/cipri-tom/type-aware-crnn
https://github.com/cjxxx0/license
https://github.com/clovaai/SATRN
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
https://github.com/courao/ocr.pytorch
https://github.com/d-gurgurov/im2latex
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
https://github.com/developWmark/paddle_PROCR
Primitive Representation Learning for Scene Text Recognition
https://github.com/dipu-bd/craft-moran-ocr
A Multi-Object Rectified Attention Network for Scene Text Recognition
https://github.com/dmitrijsk/attentionhtr
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
https://github.com/foamliu/CRNN
https://github.com/githubharald/simplehtr
https://github.com/gombru/TextFCN
Improving Text Proposals for Scene Images with Fully Convolutional Networks
https://github.com/harish2704/pottan-ocr
https://github.com/huggingface/transformers
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
https://github.com/huizhang0110/AON
https://github.com/iwyoo/tf_thinplatespline
https://github.com/jackknife007/crnn
https://github.com/jaguar-paw33/PREN
Primitive Representation Learning for Scene Text Recognition
https://github.com/jakartaresearch/receipt-ocr
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
https://github.com/jdfxzzy/pean
Text Image Inpainting via Global Structure-Guided Diffusion Models
https://github.com/jeasung-pf/MORAN_v2
A Multi-Object Rectified Attention Network for Scene Text Recognition
https://github.com/jeasung-pf/see
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
https://github.com/jercas/TextBoxes_plusplus_tf
https://github.com/jiangxiluning/FOTS.PyTorch
https://github.com/jjprincess/PMTD
https://github.com/juanluisrosaramos/CRNN_OCR
https://github.com/junstar92/hangul-syllable-recognition
https://github.com/kurapan/CRNN
https://github.com/lidongliang666/cv_deep_learning
https://github.com/liuch37/sar-pytorch
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
https://github.com/lostsword/character_recognition
https://github.com/luozhilin99/cnnctc
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
https://github.com/lynx97/convolutional-attention-network-for-scene-text-recognition
A Holistic Representation Guided Attention Network for Scene Text Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.