Deep Learning Based Image Segmentation Directly in the JPEG Compressed Domain-Reference-Cited by-同舟云学术

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Deep Learning Based Image Segmentation Directly in the JPEG Compressed Domain

Published:2021-11-11 Issue: Volume: Page:
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Container-title:2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Singh Ashutosh,Rajesh Bulla,Javed Mohammed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9667472/9667553/09667630.pdf?arnumber=9667630

Reference21 articles.

1. Fully Convolutional Networks for Semantic Segmentation

2. Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment

3. Fast segmentation of the JPEG compressed documents

4. Extraction of line-word-character segments directly from run-length compressed printed text-documents;javed;2013 Fourth National Conference on Computer Vision Pattern Recognition Image Processing and Graphics (NCVPRIPG),2013

5. Video Object Segmentation: A Compressed Domain Approach

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. RGB No More: Minimally-Decoded JPEG Vision Transformers;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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