Training convolutional neural networks for human re-identification (B)
Human re-identification has become a popular research topic due to advancements in neural network research and progression in IoT technology, Furthermore, with increasing importance for public security, human re-identification is critical to the security firms and governments. The objective of the...
Saved in:
Main Author: | Chew, Keng Siang |
---|---|
Other Authors: | Alex Kot Chichung |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/77315 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Training convolutional neural networks for person re-identification
by: Lee, Ying Hui
Published: (2019) -
Person re-identification using part-based convolutional baseline
by: Lau, Jia Quan
Published: (2020) -
Low power convolutional neural network (CNN)
by: Lim, Wu Cong
Published: (2019) -
Accelerator of convolution neural networks based on FPGA
by: Yu, Guohao
Published: (2017) -
Implementation of a convolutional neural network on FPGA
by: Xue, Can
Published: (2018)