Rate-Distortion Optimized Learning-Based Image Compression using an Adaptive Hierachical Autoencoder with Conditional Hyperprior-Reference-Cited by-同舟云学术

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Rate-Distortion Optimized Learning-Based Image Compression using an Adaptive Hierachical Autoencoder with Conditional Hyperprior

Published:2021-06 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Brand Fabian,Fischer Kristian,Kaup Andre

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9522011/9522684/09522770.pdf?arnumber=9522770

Cited by 9 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

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2. Towards Hybrid-Optimization Video Coding;ACM Computing Surveys;2024-04-24

3. Multiscale Augmented Normalizing Flows for Image Compression;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

5. Research on Internet of Things Image Compression Method Based on Convolutional Self Coding Fusion;2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC);2023-09-22

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