Synthesis of annotated images as dataset for vehicle counting neural networks using semi-supervised learning
An intelligent vehicle counting camera network has the potential to provide automation, aid, or both, for many processes involved in the development of smart cities. Some example applications include parking slot management and fee collection, criminal car tracking, parking anti-theft, contactless r...
Saved in:
Main Author: | Chan, Patrick Matthew J. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2022
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etdm_ece/19 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1023&context=etdm_ece |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
ON ANNOTATION EFFICIENT LEARNING FOR COMPUTER VISION TASKS AND ITS APPLICATION ON MEDICAL IMAGE DATASETS
by: ATIN GHOSH
Published: (2022) -
Convolutional neural network for vehicle detection in low resolution traffic videos
by: Bautista, Carlo Migel, et al.
Published: (2016) -
Exploring the use of pre-trained transformer-based models and semi-supervised learning to build training sets for text classification
by: Te, Gian Marco I.
Published: (2022) -
Multiview semi-supervised learning with consensus
by: LI, Guangxia, et al.
Published: (2012) -
CHALLENGES OF LEARNING UNDER DIFFERENT LEVELS OF SUPERVISION FOR IMAGES AND VIDEOS
by: RAHUL RAHAMAN
Published: (2023)