https://github.com/ahmedssabir/Visual-Semantic-Relatedness-with-Word-Embedding
공식 코드Visual Re-ranking with Natural Language Understanding for Text Spotting
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
공식 코드https://github.com/amazon-research/semimtr-text-recognition
공식 코드https://github.com/amazon-research/textadain-robust-recognition
공식 코드TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers
https://github.com/ayumiymk/DiG
공식 코드Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
https://github.com/bang123-box/cfe
공식 코드Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition
https://github.com/baudm/parseq
공식 코드Scene Text Recognition with Permuted Autoregressive Sequence Models
https://github.com/blackprotoss/gsdm
공식 코드Text Image Inpainting via Global Structure-Guided Diffusion Models
https://github.com/bupt-ai-cz/Meta-SelfLearning
공식 코드Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark
https://github.com/bytedance/e2str
공식 코드Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
https://github.com/canjie-luo/real-300k
공식 코드https://github.com/clovaai/deep-text-recognition-benchmark
공식 코드What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
https://github.com/clovaai/synthtiger
공식 코드SynthTIGER: Synthetic Text Image GEneratoR Towards Better Text Recognition Models
https://github.com/cs-chan/Total-Text-Dataset
공식 코드Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition
https://github.com/csguoh/lemma
공식 코드Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement
https://github.com/cxfyxl/viptr
공식 코드SVIPTR: Fast and Efficient Scene Text Recognition with Vision Permutable Extractor
https://github.com/dali92002/SSL-OCR
공식 코드https://github.com/event-ahu/eventstr
공식 코드EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition
https://github.com/fadilaw/swahili-str-dataset
공식 코드The First Swahili Language Scene Text Detection and Recognition Dataset
https://github.com/faltingsa/ssm
공식 코드Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition
https://github.com/fangshancheng/abinet-pp
공식 코드ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
https://github.com/firesans/nonlatinphotoocr
공식 코드Towards Boosting the Accuracy of Non-Latin Scene Text Recognition
https://github.com/fudanvi/fudanocr
공식 코드Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution
https://github.com/georg3tom/RoadTextVQA
공식 코드https://github.com/gitycc/traditional-chinese-text-recogn-dataset
공식 코드Traditional Chinese Synthetic Datasets Verified with Labeled Data for Scene Text Recognition
https://github.com/guoxy25/Ocean-OCR
공식 코드Ocean-OCR: Towards General OCR Application via a Vision-Language Model
https://github.com/hikopensource/davar-lab-ocr
공식 코드SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
https://github.com/iliasprc/slrzoo
공식 코드A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
https://github.com/jiangxiluning/MASTER-TF
공식 코드MASTER: Multi-Aspect Non-local Network for Scene Text Recognition
https://github.com/ku21fan/STR-Fewer-Labels
공식 코드https://github.com/ku21fan/cll-str
공식 코드Cross-Lingual Learning in Multilingual Scene Text Recognition
https://github.com/lRomul/ball-action-spotting
공식 코드https://github.com/lancercat/moose
공식 코드MOoSE: Multi-Orientation Sharing Experts for Open-set Scene Text Recognition
https://github.com/large-ocr-model/large-ocr-model.github.io
공식 코드https://github.com/markytools/strexp
공식 코드Scene Text Recognition Models Explainability Using Local Features
https://github.com/melosy/cam
공식 코드Class-Aware Mask-Guided Feature Refinement for Scene Text Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.