Papers with Code 아카이브
Text Detection
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Detecting the text in the image and localise it using a bounding box. The text can be in any shape and size. We need to localise all such instances of text in the entire image along with bounding box for each word.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/backtime92/CRAFT-Reimplementation
https://github.com/bgshih/seglink
Detecting Oriented Text in Natural Images by Linking Segments
https://github.com/blueardour/AdelaiDet
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
https://github.com/brooklyn1900/SPCNet
Scene Text Detection with Supervised Pyramid Context Network
https://github.com/cair/PyTsetlinMachineCUDA
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
https://github.com/cair/TsetlinMachine
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
https://github.com/cair/pyTsetlinMachine
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
https://github.com/cair/pyTsetlinMachineMT
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
https://github.com/cair/pyTsetlinMachineParallel
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
https://github.com/carnotaur/crnn-tutorial
https://github.com/chauthehan/CRAFT
https://github.com/chend-vl/instructocr
Towards End-to-End Unified Scene Text Detection and Layout Analysis
https://github.com/ckinateder/pytsetlinmachineparallel
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
https://github.com/clovaai/CRAFT-pytorch
https://github.com/code-implementation1/Code2/tree/main/adelaide_ea
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
https://github.com/code-implementation1/Code2/tree/main/advanced_east
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
https://github.com/code-implementation1/Code6/tree/main/psenet
Shape Robust Text Detection with Progressive Scale Expansion Network
https://github.com/codelion/adaptive-classifier
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection
https://github.com/curbmap/curbmap-ml
Detecting Oriented Text in Natural Images by Linking Segments
https://github.com/cydal/LayoutML_pytorch
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
https://github.com/dafanghe/Tensorflow_SceneText_Oriented_Box_Predictor
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
https://github.com/dengdan/seglink
Detecting Oriented Text in Natural Images by Linking Segments
https://github.com/dipu-bd/craft-moran-ocr
https://github.com/erbloo/dr
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
https://github.com/ernestchenchen/sg-lra
LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network
https://github.com/gmuffiness/CRAFT-train
https://github.com/guruL/Character-Region-Awareness-for-Text-Detection-
https://github.com/hongzhenwang/RRPN-revise
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
https://github.com/huggingface/transformers
DiT: Self-supervised Pre-training for Document Image Transformer
https://github.com/huyhoang17/DB_text_minimal
Real-time Scene Text Detection with Differentiable Binarization
https://github.com/ingbeeedd/EAST-tf2keras
https://github.com/inouetaka/CRAFT
https://github.com/isaacaddis/Seung
https://github.com/jacobtyo/swintextspotter
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition
https://github.com/jakartaresearch/receipt-ocr
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.