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/divyakraman/salad_sourcefreeactivelabelagnosticdomainadaptation

공식 코드

SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

https://github.com/dlgroupuoft/calpric

공식 코드

Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning

https://github.com/dmadras/local-ensembles

공식 코드

Detecting Underspecification with Local Ensembles

https://github.com/dmar-bonn/ipp-al-framework

공식 코드

An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping

https://github.com/dmar-bonn/ipp-ssl

공식 코드

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning

https://github.com/dmitrijsk/attentionhtr

공식 코드

AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder Networks

https://github.com/dmusekamp/al4pde

공식 코드

Active Learning for Neural PDE Solvers

https://github.com/dongchen06/label-efficient-in-agriculture

공식 코드

Label-Efficient Learning in Agriculture: A Comprehensive Review

https://github.com/dongwoolee-eli/nslpfn

공식 코드

Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks

https://github.com/dragonlzm/ISAL

공식 코드

Influence Selection for Active Learning

https://github.com/dralgroup/mlatom

공식 코드

Physics-informed active learning for accelerating quantum chemical simulations

https://github.com/drewprinster/conformal-mfcs

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Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)

https://github.com/drimpossible/Sampling-Bias-Active-Learning

공식 코드

Sampling Bias in Deep Active Classification: An Empirical Study

https://github.com/drivergo-93589/deepfrc

공식 코드

DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification

https://github.com/drjeong/digitperceptron

공식 코드

Active Learning on Neural Networks through Interactive Generation of Digit Patterns and Visual Representation

https://github.com/drwuHUST/IRD

공식 코드

Unsupervised Pool-Based Active Learning for Linear Regression

https://github.com/drwuHUST/iGS

공식 코드

Active Learning for Regression Using Greedy Sampling

https://github.com/drwuHUST/sAL

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Pool-Based Sequential Active Learning for Regression

https://github.com/dsba-lab/openal

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Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model

https://github.com/dsgissin/DiscriminativeActiveLearning

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Discriminative Active Learning

https://github.com/dskoda/quests

공식 코드

Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theory

https://github.com/dssresearch/GLISTER

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GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning

https://github.com/duke-vision/optical-flow-active-learning-release

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Optical Flow Training under Limited Label Budget via Active Learning

https://github.com/duojun-huang/diana-cvpr2023

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Divide and Adapt: Active Domain Adaptation via Customized Learning

https://github.com/dustincarrion/cd-metadl

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Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification

https://github.com/dwang181/active-mixup

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Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model

https://github.com/eaplatanios/makina

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Active Learning amidst Logical Knowledge

https://github.com/efficienttraining/labelbench

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LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning

https://github.com/efm18/amnlt

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Aligned Music Notation and Lyrics Transcription

https://github.com/ej0cl6/deep-active-learning

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DeepAL: Deep Active Learning in Python

https://github.com/ektavats/project-marginalia

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Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition

https://github.com/emanuelaboros/ocr-sensitive-neurons

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Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents

https://github.com/emerging-welfare/glocongold

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Cross-context News Corpus for Protest Events related Knowledge Base Construction

https://github.com/ericongma/e2timt

공식 코드

E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation

https://github.com/ethanbradley/synfintabgen

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SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction

https://github.com/eugene-yang/tar-content-moderation

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TAR on Social Media: A Framework for Online Content Moderation

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