Variable Rate Allocation for Vector-Quantized Autoencoders-Reference-Cited by-同舟云学术

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Variable Rate Allocation for Vector-Quantized Autoencoders

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Baldassarre Federico¹,El-Nouby Alaaeldin²,Jégou Hervé²

Affiliation:

1. KTH - Royal Institute of Technology

2. Meta AI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095451.pdf?arnumber=10095451

Reference34 articles.

1. Emerging Properties in Self-Supervised Vision Transformers

2. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale;dosovitskiy;ICLRE,2020

3. CLIC Workshop on Learned Image Compression,2022

4. Variable Rate Image Compression with Recurrent Neural Networks;toderici;ICLRE,2016

5. XCiT: Cross-Covariance Image Transformers;el-nouby;NeurIPS,2021

Cited by 2 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. Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. Learning-Based Image Compression With Parameter-Adaptive Rate-Constrained Loss;IEEE Signal Processing Letters;2024

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