Results 41 to 50 of about 22,365 (196)

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

, 2017
We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150 MFLOPs).
Lin, Mengxiao, Sun, Jian, Zhang, Xiangyu, Zhou, Xinyu   +3 more
core   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

Optimization of Accuracy Improvement through Modified ShuffleNet Architecture in Rice Classification

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Accurate rice classification is essential to determine the quality and market value of rice. Traditional methods of rice classification are often time-consuming and error-prone, so a more efficient and accurate solution is needed.
Abdullah Ahmad, Dedy Hartama, Agus Perdana Windarto, Anjar Wanto   +3 more
doaj   +1 more source

clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions

, 2018
Depthwise convolution and grouped convolution has been successfully applied to improve the efficiency of convolutional neural network (CNN). We suggest that these models can be considered as special cases of a generalized convolution operation, named ...
Zhang, Dong-Qing
core   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Real-time deep hair matting on mobile devices

, 2018
Augmented reality is an emerging technology in many application domains. Among them is the beauty industry, where live virtual try-on of beauty products is of great importance. In this paper, we address the problem of live hair color augmentation.
Aarabi, Parham, Chang, Cheng, Guo, Wenzhangzhi, Kezele, Irina, Levinshtein, Alex, Phung, Edmund   +5 more
core   +1 more source

Implementation of MobileNet Architecture for Skin Cancer Disease Classification

Journal of Applied Informatics and Computing
As the number of occurrences of skin cancer increases year, it becomes more and more crucial to identify the disease accurately and effectively. This study aims to implement and evaluate the MobileNet architecture for classifying nine types of skin ...
Haniifa Aliila Faudyta, Jesica Trivena Sinaga, Egia Rosi Subhiyakto   +2 more
doaj   +1 more source

HAQ: Hardware-Aware Automated Quantization with Mixed Precision

, 2019
Model quantization is a widely used technique to compress and accelerate deep neural network (DNN) inference. Emergent DNN hardware accelerators begin to support mixed precision (1-8 bits) to further improve the computation efficiency, which raises a ...
Han, Song, Lin, Ji, Lin, Yujun, Liu, Zhijian, Wang, Kuan   +4 more
core   +1 more source

Application of MobileNetV2 and SVM Combination for Enhanced Accuracy in Pneumonia Classification

Journal of Applied Informatics and Computing
Pneumonia is a very common respiratory infection in low- and middle-income countries and is still a leading cause of death, especially among children under five years old.
Eka Putra Agus Meindiawan, Muljono Muljono   +1 more
doaj   +1 more source

RMNv2: Reduced Mobilenet V2 for CIFAR10 [PDF]

2020 10th Annual Computing and Communication Workshop and Conference (CCWC), 2020
In this paper, we developed a new architecture called Reduced Mobilenet V2 (RMNv2) for CIFAR10 dataset. The baseline architecture of our network is Mobilenet V2. RMNv2 is architecturally modified version of Mobilenet V2. The proposed model has a total number of parameters of 1.06M which is 52.2% lesser than the baseline model.
Maneesh Ayi, Mohamed El-Sharkawy
openaire   +1 more source