Towards robust image classification with deep learning and real-time DNN inference on mobile
As the rapidly increasing popularity of deep learning, deep neural networks (DNN) have become the fundamental and essential building blocks in various applications such as image classification and object detection. However, there are two main issues which potentially limit th...
Published: |
|
---|---|
Online Access: | http://hdl.handle.net/2047/D20416558 |
Similar Items
-
Real Time Arrhythmia Monitoring and Classification Based on Edge Computing and DNN
by: Mingxin Liu, et al.
Published: (2021-01-01) -
ResDNN: deep residual learning for natural image denoising
by: Gurprem Singh, et al.
Published: (2020-09-01) -
Application of DNN Algorithm to Hyperspectral Images Classification
by: Kai-Hsiang Huang, et al.
Published: (2018) -
SAAE-DNN: Deep Learning Method on Intrusion Detection
by: Chaofei Tang, et al.
Published: (2020-10-01) -
Optimum Selection of DNN Model and Framework for Edge Inference
by: Delia Velasco-Montero, et al.
Published: (2018-01-01)