https://github.com/lzmisscc/emoran
A Multi-Object Rectified Attention Network for Scene Text Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
See Scene Text Detection for leaderboards in this task.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
A Multi-Object Rectified Attention Network for Scene Text Recognition
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition
Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
STN-OCR: A single Neural Network for Text Detection and Text Recognition
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.