A Spatial RNN Codec for End-to-End Image Compression-Reference-Cited by-同舟云学术

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A Spatial RNN Codec for End-to-End Image Compression

Published:2020-06 Issue: Volume: Page:
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Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Lin Chaoyi,Yao Jiabao,Chen Fangdong,Wang Li

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142308/9156271/09156861.pdf?arnumber=9156861

Cited by 14 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. MLIC: Multi-Reference Entropy Model for Learned Image Compression;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

2. AccelIR: Task-aware Image Compression for Accelerating Neural Restoration;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

3. LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Comprehensive Comparisons of Uniform Quantization in Deep Image Compression;IEEE Access;2023

5. ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

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