https://github.com/pietrolesci/anchoral
공식 코드AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars...) or from subtitle text superimposed on an image (for example: from a television broadcast)
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Revisiting Sample Size Determination in Natural Language Understanding
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
Integrated Gradient Correlation: a Dataset-wise Attribution Method
MM-KTD: Multiple Model Kalman Temporal Differences for Reinforcement Learning
An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers
Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations
Optimizing Nepali PDF Extraction: A Comparative Study of Parser and OCR Technologies
A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing
Towards Robust and Reproducible Active Learning Using Neural Networks
Deep Active Learning in Remote Sensing for data efficient Change Detection
End-to-End Page-Level Assessment of Handwritten Text Recognition
ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
An Approach for Air Drawing Using Background Subtraction and Contour Extraction
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation
An Information-Theoretic Framework for Unifying Active Learning Problems
Universal Defensive Underpainting Patch: Making Your Text Invisible to Optical Character Recognition
From Panels to Prose: Generating Literary Narratives from Comics
Re-thinking Federated Active Learning based on Inter-class Diversity
On the Cross-dataset Generalization in License Plate Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.