https://github.com/HCIILAB/EPHOIE
공식 코드Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Scene Text Spotting is the combination of Scene Text Detection and Scene Text Recognition in an end-to-end manner. It is the ability to read natural text in the wild.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
Extremely Low-light Image Enhancement with Scene Text Restoration
TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation
VimTS: A Unified Video and Image Text Spotter for Enhancing the Cross-domain Generalization
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition
FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting
FlowText: Synthesizing Realistic Scene Text Video with Optical Flow Estimation
Towards Unified Scene Text Spotting based on Sequence Generation
ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)
SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching
Scene Text Retrieval via Joint Text Detection and Similarity Learning
Bridging the Gap Between End-to-End and Two-Step Text Spotting
ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition
SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.