The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study

The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study

3 August 2020

Feng Yang

Papers citing "The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study"

8 / 8 papers shown

Title
JPEG Inspired Deep Learning Ahmed H. Salamah Kaixiang Zheng Yiwen Liu En-Hui Yang 37 0 0 09 Oct 2024
Deep Video Codec Control for Vision Models Christoph Reich Biplob K. Debnath Deep Patel Tim Prangemeier Daniel Cremers S. Chakradhar 33 1 0 30 Aug 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 31 3 0 18 Feb 2023
Differentiable bit-rate estimation for neural-based video codec enhancement A. Said M. K. Singh Reza Pourreza 30 5 0 24 Jan 2023
Towards End-to-End Image Compression and Analysis with Transformers Yuanchao Bai Xu Yang Xianming Liu Junjun Jiang Yaowei Wang Xiangyang Ji Wen Gao ViT 31 51 0 17 Dec 2021
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks Berivan Isik P. Chou S. Hwang Nick Johnston G. Toderici 3DPC 34 28 0 17 Nov 2021
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression Nikolina Kubiak Simon Hadfield 29 3 0 22 Sep 2021
End-to-end optimized image compression for multiple machine tasks Lahiru D. Chamain Fabien Racapé Jean Bégaint Akshay Pushparaja Simon Feltman 21 22 0 06 Mar 2021