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/fuqichen1998/SequentialVotingDet

공식 코드

Sequential Voting with Relational Box Fields for Active Object Detection

https://github.com/furkanbiten/idl_data

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OCR-IDL: OCR Annotations for Industry Document Library Dataset

https://github.com/furkancanturk/explainable_active_learning

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Explainable Active Learning for Preference Elicitation

https://github.com/gabrieleciravegna/knowledge-driven-active-learning

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Knowledge-driven Active Learning

https://github.com/galirage/Arrow-Guided-VLM-Enhancing-Flowchart-Understanding-via-Arrow-Direction-Encoding

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Arrow-Guided VLM: Enhancing Flowchart Understanding via Arrow Direction Encoding

https://github.com/gaurav71531/DeAn

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Noisy Batch Active Learning with Deterministic Annealing

https://github.com/geifmany/Active-inas

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Deep Active Learning with a Neural Architecture Search

https://github.com/genedisco/genedisco

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GeneDisco: A Benchmark for Experimental Design in Drug Discovery

https://github.com/georgedeath/egreedy

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Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation

https://github.com/georgeretsi/htr-best-practices

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Best Practices for a Handwritten Text Recognition System

https://github.com/gfnorg/multi-objective-gfn

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Multi-Objective GFlowNets

https://github.com/giparisi/GDM

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Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization

https://github.com/gitmehrdad/face

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Face: Fast, Accurate and Context-Aware Audio Annotation and Classification

https://github.com/gitwzl/motbench

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Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models

https://github.com/gknb/alband

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An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry

https://github.com/glasgow-ai4biomed/genkie

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GenKIE: Robust Generative Multimodal Document Key Information Extraction

https://github.com/gmcampbell/spa_design

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Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators

https://github.com/gokyeongryeol/tbu

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Transferable Candidate Proposal with Bounded Uncertainty

https://github.com/google-research/arxiv-latex-cleaner

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Computational Job Market Analysis with Natural Language Processing

https://github.com/google-research/google-research

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Tackling Provably Hard Representative Selection via Graph Neural Networks

https://github.com/google-research/mma

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Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels

https://github.com/google-research/pix2struct

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Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding

https://github.com/google-research/xtreme-up

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XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages

https://github.com/google/goldfinch

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The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition

https://github.com/google/uncertainty-baselines

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Plex: Towards Reliability using Pretrained Large Model Extensions

https://github.com/grant-m-s/astronomical

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AstronomicAL: An interactive dashboard for visualisation, integration and classification of data using Active Learning

https://github.com/gsoykan/comics_text_plus

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A Comprehensive Gold Standard and Benchmark for Comics Text Detection and Recognition

https://github.com/gtlinyer/LOANet

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LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images

https://github.com/gudovskiy/al-fk-self-supervision

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Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision

https://github.com/guoxy25/Ocean-OCR

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Ocean-OCR: Towards General OCR Application via a Vision-Language Model

https://github.com/gwxie/document-dewarping-with-control-points

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Document Dewarping with Control Points

https://github.com/gxym/textbpn-plus-plus

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Text Detection Forgot About Document OCR

https://github.com/gyann-z/fdp

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Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval

https://github.com/gyh5421/unified_deep_clustering

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Learning the Precise Feature for Cluster Assignment

https://github.com/haizailache999/autoal

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AutoAL: Automated Active Learning with Differentiable Query Strategy Search

https://github.com/halolimat/SpExtor

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A Practical Incremental Learning Framework For Sparse Entity Extraction

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