Self-Supervised Learning for Scanned Halftone Classification with Novel Augmentation Techniques
Author:
Affiliation:
1. National Taiwan University of Science and Technology,Department of Electrical Engineering and Advanced Intelligent Image and Vision Technology Research Center,Taipei,Taiwan,10607
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222434.pdf?arnumber=10222434
Reference23 articles.
1. Generalized halftone classification approach using stochastic analysis
2. Deep neural network for halftone image classification based on sparse auto-encoder
3. Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification;du;IEEE Transactions on Pattern Analysis and Machine Intelligence,2021
4. Digital Halftone Classification using Simplified CNN and Stochastic Statistics;guo;Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),2021
5. Extreme learning machine: Theory and applications
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. Super-Resolution of Color Halftone Images Using Convolutional Neural Networks;IEEE Access;2024
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