ScissionLite: accelerating distributed deep learning with lightweight data compression for IIoT
Industrial Internet of Things (IIoT) applications can greatly benefit from leveraging edge
computing. For instance, applications relying on deep neural network (DNN) models can be …
computing. For instance, applications relying on deep neural network (DNN) models can be …
Latency and Privacy Aware Convolutional Neural Network Distributed Inference for Reliable Artificial Intelligence Systems
Reliable artificial intelligence systems not only propose a challenge on providing intelligent
services with high quality for customers, but also require customers' privacy to be protected …
services with high quality for customers, but also require customers' privacy to be protected …
Color Face Image Generation with Improved Generative Adversarial Networks
YH Chang, PH Chung, YH Chai, HW Lin - Electronics, 2024 - mdpi.com
This paper focuses on the development of an improved Generative Adversarial Network
(GAN) specifically designed for generating color portraits from sketches. The construction of …
(GAN) specifically designed for generating color portraits from sketches. The construction of …
Feature-Guided Machine-Centric Image Coding for Downstream Tasks
S Kwak, J Yun, HG Choo, M Kim - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Video coding, a process of compressing and decompressing digital video content, has
traditionally been optimized for human visual systems by reducing its size while maintaining …
traditionally been optimized for human visual systems by reducing its size while maintaining …
An Efficient Ventricular Arrhythmias Detection on Microcontrollers with Optimized 1D CNN
This paper introduces a novel solution utilizing a 1D convolutional neural network (CNN)
with optimizations like adaptive max-pooling, point-wise convolution, and a multi-objective …
with optimizations like adaptive max-pooling, point-wise convolution, and a multi-objective …
Toward Efficient and Robust Computer Vision for Large-Scale Edge Applications
T Vu - 2023 - search.proquest.com
The past decade has been witnessing remarkable advancements in computer vision and
deep learning algorithms, ushering in a transformative wave of large-scale edge …
deep learning algorithms, ushering in a transformative wave of large-scale edge …
[PDF][PDF] Bounding Box Aware Edge-Cloud Collaborative Method for Multiple Object Detection
S Akamatsu, H Watanabe - ams.giti.waseda.ac.jp
The demand for real-time video processing from edge devices including surveillance
cameras and smartphones has been increasing. While edge processing power is improving …
cameras and smartphones has been increasing. While edge processing power is improving …