OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis-Reference-Cited by-同舟云学术

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OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Shekhar Sumit¹,Prakash Reddy Guda Bhanu¹,Chaubey Ashutosh²,Jindal Ishan²,Jain Avneet²

Affiliation:

1. Adobe Research

2. IIT Roorkee

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857407.pdf?arnumber=9857407

Reference58 articles.

1. Faster r-cnn: Towards real-time object detection with region proposal networks;ren;Advances in Neural IInformation Processing Systems,2015

2. Hierarchical Transformers for Long Document Classification

3. Adversarial Sampling for Active Learning

4. An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition

5. Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TACTFUL: A Framework for Targeted Active Learning for Document Analysis;Lecture Notes in Computer Science;2023

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