https://github.com/yangcan2017/text-detection-ctpn
Detecting Text in Natural Image with Connectionist Text Proposal Network
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Scene Text Detection is a computer vision task that involves automatically identifying and localizing text within natural images or videos. The goal of scene text detection is to develop algorithms that can robustly detect and and label text with bounding boxes in uncontrolled and complex environments, such as street signs, billboards, or license plates.
Source: ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Detecting Text in Natural Image with Connectionist Text Proposal Network
Shape Robust Text Detection with Progressive Scale Expansion Network
$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
Detecting Text in Natural Image with Connectionist Text Proposal Network
Detecting Text in Natural Image with Connectionist Text Proposal Network
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Fourier Contour Embedding for Arbitrary-Shaped Text Detection
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Detecting Text in Natural Image with Connectionist Text Proposal Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.