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/bjork-crypto/visled-querying

공식 코드

Language-Driven Active Learning for Diverse Open-Set 3D Object Detection

https://github.com/blackhc/2208.00549

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Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities

https://github.com/blackhc/2302.08981

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Black-Box Batch Active Learning for Regression

https://github.com/bo1929/anelfop

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Focusing on Potential Named Entities During Active Label Acquisition

https://github.com/bobxwu/learning-from-rewards-llm-papers

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Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models

https://github.com/bonaventuredossou/active_learning_african_asr

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Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models

https://github.com/bonaventuredossou/ece526_course_project

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A Study of Acquisition Functions for Medical Imaging Deep Active Learning

https://github.com/bonaventuredossou/mlm_al

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AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages

https://github.com/boschresearch/amor-struct-gp

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Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels

https://github.com/boschresearch/hierarchical-hyperplane-kernels

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Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems

https://github.com/boschresearch/salmogp

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Safe Active Learning for Multi-Output Gaussian Processes

https://github.com/boschresearch/transfersafesequentiallearning

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Global Safe Sequential Learning via Efficient Knowledge Transfer

https://github.com/bradyfu/awesome-multimodal-large-language-models

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A Survey on Multimodal Large Language Models

https://github.com/brendanartley/genplot

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GenPlot: Increasing the Scale and Diversity of Chart Derendering Data

https://github.com/bstienen/active-learning

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Constraining the Parameters of High-Dimensional Models with Active Learning

https://github.com/bucherb/adversarial-curiosity

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An Adversarial Objective for Scalable Exploration

https://github.com/c-liangyu/csval

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Making Your First Choice: To Address Cold Start Problem in Vision Active Learning

https://github.com/c-w-d/meaeq

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MeaeQ: Mount Model Extraction Attacks with Efficient Queries

https://github.com/ca-tt-ac/key-patch-proposer

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Key Patch Proposer: Key Patches Contain Rich Information

https://github.com/caelan/pddlstream

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Learning compositional models of robot skills for task and motion planning

https://github.com/callanwu/star

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STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models

https://github.com/cambridge-mlg/cnaps

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Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes

https://github.com/cambridge-mlg/expressiveness-approx-bnns

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On the Expressiveness of Approximate Inference in Bayesian Neural Networks

https://github.com/castel44/al_delay

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Stream-based Active Learning with Verification Latency in Non-stationary Environments

https://github.com/cenyou/transfersafesequentiallearning

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Global Safe Sequential Learning via Efficient Knowledge Transfer

https://github.com/chapman20j/sar_bal

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Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets

https://github.com/charlesq9/histagent

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On Path to Multimodal Historical Reasoning: HistBench and HistAgent

https://github.com/chauhanjatin10/GraphsFewShot

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Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures

https://github.com/chen700564/supercd

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Few-shot Named Entity Recognition via Superposition Concept Discrimination

https://github.com/chenchenzong/bual

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Bidirectional Uncertainty-Based Active Learning for Open Set Annotation

https://github.com/chenchenzong/eaoa

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Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach

https://github.com/chend-vl/instructocr

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InstructOCR: Instruction Boosting Scene Text Spotting

https://github.com/chengaf/DALAUP

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Deep Active Learning for Anchor User Prediction

https://github.com/chenhongyiyang/ppal

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Plug and Play Active Learning for Object Detection

https://github.com/chenyugao-cs/sma

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Structured Multimodal Attentions for TextVQA

https://github.com/chojw/maximum-classifier-discrepancy-for-active-learning

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MCDAL: Maximum Classifier Discrepancy for Active Learning

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