DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework

14 March 2018

Papers citing "DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework"

10 / 10 papers shown

Title
JPEG Inspired Deep Learning Ahmed H. Salamah Kaixiang Zheng Yiwen Liu E. Yang 27 0 0 09 Oct 2024
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI Kai Huang Wei Gao 15 35 0 21 Dec 2023
XAI based Performance Preserving Adaptive Image Compression for Efficient Satellite Communication Kyung-Hee Lee 18 0 0 22 Jul 2022
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems Samaa Gazzaz Vishal Chakraborty Faisal Nawab 28 10 0 31 Dec 2021
Modeling Image Quantization Tradeoffs for Optimal Compression J. Chiu MQ 11 0 0 14 Dec 2021
Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression Zhuang Shao Xiaoliang Chen Li Du Lei Chen Yuan Du Weihao Zhuang Huadong Wei Chenjia Xie Zhongfeng Wang 13 26 0 12 Oct 2021
TACTIC: Joint Rate-Distortion-Accuracy Optimisation for Low Bitrate Compression Nikolina Kubiak Simon Hadfield 24 3 0 22 Sep 2021
Task-relevant Representation Learning for Networked Robotic Perception Manabu Nakanoya Sandeep P. Chinchali Alexandros Anemogiannis Akul Datta Sachin Katti Marco Pavone 15 5 0 06 Nov 2020
Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things Prabuddha Chakraborty Jonathan Cruz S. Bhunia 18 1 0 14 Sep 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020