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/han-yuan-med/foundation-model

공식 코드

Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning

https://github.com/hangqiu/mcal

공식 코드

MCAL: Minimum Cost Human-Machine Active Labeling

https://github.com/hankuipeng/WSSR

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Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning

https://github.com/hannahkirk/activetransformers-for-abusivelanguage

공식 코드

Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning

https://github.com/haonanpeng/active_syn_generator

공식 코드

Reducing Annotating Load: Active Learning with Synthetic Images in Surgical Instrument Segmentation

https://github.com/harshvivek14/RoundTripOCR

공식 코드

RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari Languages

https://github.com/harvardnlp/im2markup

공식 코드

Image-to-Markup Generation with Coarse-to-Fine Attention

https://github.com/healthml/active-segmentation

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Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation

https://github.com/healthy-ai/guro

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Active Preference Learning for Ordering Items In- and Out-of-sample

https://github.com/hendraet/handwriting-classification

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Handwriting Classification for the Analysis of Art-Historical Documents

https://github.com/hideaki-ishibashi/stopping_AL

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Stopping Criterion for Active Learning Based on Error Stability

https://github.com/hieunghia-pat/uit-hwdb-dataset

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UIT-HWDB: Using Transferring Method to Construct A Novel Benchmark for Evaluating Unconstrained Handwriting Image Recognition in Vietnamese

https://github.com/hikopensource/davar-lab-ocr

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Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition

https://github.com/historicalink/LatamXIX

공식 코드

Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction

https://github.com/hitachinsk/tha

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A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty

https://github.com/hls-fpga-machine-learning/hls4ml

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Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

https://github.com/hltcoe/hc4

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HC4: A New Suite of Test Collections for Ad Hoc CLIR

https://github.com/hoolagans/stackgp

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Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression

https://github.com/horizonparadox/drccbi

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Geometry Restoration and Dewarping of Camera-Captured Document Images

https://github.com/hrishikeshrt/chanda

공식 코드

Chandojnanam: A Sanskrit Meter Identification and Utilization System

https://github.com/hrouzegar/enhancing-text-classification-through-llm-driven-active-learning-and-human-annotation

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Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation

https://github.com/huangdaolang/aline

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ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition

https://github.com/humanlab/rare-class-AL

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Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge

https://github.com/hunto/actgen

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Active Generation for Image Classification

https://github.com/huyvvo/bib

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Active Learning Strategies for Weakly-supervised Object Detection

https://github.com/hxyz-123/reasoningocr

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Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?

https://github.com/hyeonsieun/mathreader

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MathReader : Text-to-Speech for Mathematical Documents

https://github.com/hyintell/al-dst

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Turn-Level Active Learning for Dialogue State Tracking

https://github.com/hyperconnect/TiDAL

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TiDAL: Learning Training Dynamics for Active Learning

https://github.com/hzykent/lidal

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LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation

https://github.com/i-pi/i-pi

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Uncertainty estimation for molecular dynamics and sampling

https://github.com/ia-gu/benchmarking-of-query-strategies-towards-future-deep-active-learning

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Benchmarking of Query Strategies: Towards Future Deep Active Learning

https://github.com/ibm-aur-nlp/PubTabNet

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Image-based table recognition: data, model, and evaluation

https://github.com/ibm/atari-active-learning

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Is Policy Learning Overrated?: Width-Based Planning and Active Learning for Atari

https://github.com/ibm/synthtabnet

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TableFormer: Table Structure Understanding with Transformers

https://github.com/ibpa/semiautomatedfoodkbc

공식 코드

Semi-Automated Construction of Food Composition Knowledge Base

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