Papers with Code 아카이브

Optical Character Recognition (OCR)

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하위 태스크: 10
평가표: 6
보존된 평가 기록: 20

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)

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/akash2907/semi-sup-active-learning

공식 코드

Semi-supervised Active Learning for Video Action Detection

https://github.com/akoksal/meal

공식 코드

MEAL: Stable and Active Learning for Few-Shot Prompting

https://github.com/akshitjindal1/aot_wacv

공식 코드

Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection

https://github.com/alanxuji/delala

공식 코드

Semi-supervised Learning with Deterministic Labeling and Large Margin Projection

https://github.com/alberto-poncelas/tesseract_postprocess

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A Tool for Facilitating OCR Postediting in Historical Documents

https://github.com/alea-institute/kl3m-tokenizer-paper

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KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications

https://github.com/alextamkin/active-learning-pretrained-models

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Active Learning Helps Pretrained Models Learn the Intended Task

https://github.com/alibabaresearch/advancedliteratemachinery

공식 코드

Multi-Granularity Prediction for Scene Text Recognition

https://github.com/aliencaocao/vlm-for-memes-aisg

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Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language Models

https://github.com/alisedaghatbaf/ACTA

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Automated Performance Testing Based on Active Deep Learning

https://github.com/alitourani/Iranis-dataset

공식 코드

Iranis: A Large-scale Dataset of Farsi License Plate Characters

https://github.com/allanchen95/code

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CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking

https://github.com/alloydas/fast-textspotter

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FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting

https://github.com/alpha-vllm/llama2-accessory

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SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

https://github.com/alteia-ai/DIAL

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DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing

https://github.com/amazon-research/textadain-robust-recognition

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TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers

https://github.com/amazon-science/adaptive-in-context-learning

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Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection

https://github.com/amazon-science/m3t-multi-modal-translation-bench

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M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation

https://github.com/amazon-science/visfocus

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VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding

https://github.com/aminparvaneh/alpha_mix_active_learning

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Active Learning by Feature Mixing

https://github.com/anahideh/FAL--Fair-Active-Learning

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Fair Active Learning

https://github.com/andererka/mavils

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MaViLS, a Benchmark Dataset for Video-to-Slide Alignment, Assessing Baseline Accuracy with a Multimodal Alignment Algorithm Leveraging Speech, OCR, and Visual Features

https://github.com/andreped/NoCodeSeg

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Code-free development and deployment of deep segmentation models for digital pathology

https://github.com/angelbeshirov/duosearch

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DuoSearch: A Novel Search Engine for Bulgarian Historical Documents

https://github.com/angelbeshirov/post-ocr-text-correction

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Post-OCR Text Correction for Bulgarian Historical Documents

https://github.com/anon-user-for-web/badlad

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BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset

https://github.com/anonydoe/knowledge-aware-federated-active-learning-with-non-iid-data

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Knowledge-Aware Federated Active Learning with Non-IID Data

https://github.com/anonymousaccount0/dbal

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Discrepancy-Based Active Learning for Domain Adaptation

https://github.com/anranwu-richpo/dcqa

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DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding

https://github.com/ansonlcy/TSceneJAL

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TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection

https://github.com/answerdotai/readbench

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ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language Models

https://github.com/antmachineintelligence/mui-zh

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Mobile User Interface Element Detection Via Adaptively Prompt Tuning

https://github.com/antoinedemathelin/dbal

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Discrepancy-Based Active Learning for Domain Adaptation

https://github.com/anxiousrabbit1/active_learning_visualization_demo

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An Interactive Visualization Tool for Understanding Active Learning

https://github.com/aolmin/active_learning_weak_sup

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Active Learning with Weak Supervision for Gaussian Processes

https://github.com/apivich-h/init-robust-al

공식 코드

Training-Free Neural Active Learning with Initialization-Robustness Guarantees

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