Split Computing for Complex Object Detectors: Challenges and Preliminary Results

27 July 2020

Papers citing "Split Computing for Complex Object Detectors: Challenges and Preliminary Results"

7 / 7 papers shown

Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks A. Hojjat Janek Haberer Tayyaba Zainab Olaf Landsiedel 39 3 0 18 Apr 2025
Neuromorphic Wireless Split Computing with Multi-Level Spikes Dengyu Wu Jiechen Chen Bipin Rajendran H. Vincent Poor Osvaldo Simeone 46 1 0 07 Nov 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 40 3 0 25 Mar 2024
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency Akrit Mudvari Antero Vainio Iason Ofeidis Sasu Tarkoma Leandros Tassiulas 26 3 0 09 Nov 2023
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing Yoshitomo Matsubara Davide Callegaro Sameer Singh Marco Levorato Francesco Restuccia 24 41 0 07 Jan 2022
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation Juliano S. Assine José Cândido Silveira Santos Filho Eduardo Valle ObjD 42 8 0 03 May 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 33 199 0 08 Mar 2021