eprintid: 3263
rev_number: 10
eprint_status: archive
userid: 335
dir: disk0/00/00/32/63
datestamp: 2018-12-14 02:41:58
lastmod: 2018-12-14 02:41:58
status_changed: 2018-12-14 02:41:58
type: conference_item
metadata_visibility: show
creators_name: Doan, Van Viet
creators_name: Nguyen, Duy Hung
creators_name: Tran, Quoc Long
creators_name: Nguyen, Do Van
creators_name: Le, Thanh Ha
creators_id: vietdoanhp1996@gmail.com
creators_id: ndhung.uet@gmail.com
creators_id: tqlong@vnu.edu.vn
creators_id: ngdovan@gmail.com
creators_id: ltha@vnu.edu.vn
title: Real-time Image Semantic Segmentation Networks with Residual Depth-wise Separable Blocks
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: —Semantic image segmentation plays a key role in
obtaining pixel-level understanding of images. In recent years,
researchers have tackled this problem by using deep learning
methods instead of traditional computer vision methods (eg [25]).
Because of the development of technologies like autonomous
vehicles and indoor robots, segmentation techniques, that have
not only high accuracy but also the capability of running in
real-time on embedded platform and mobile devices, are in high
demand. In this work, we have proposed a new convolutional
module, named Residual depth-wise separable, and a fast and
efficient convolutional neural network for segmentation. The
proposed method is compared against other state of the art
real-time models. The experiment results illustrate that our
method is efficient in computation while achieves state of the
art performance in term of accuracy
date: 2018-12-05
date_type: published
official_url: http://scis2018.j-soft.org/program.html
full_text_status: public
pres_type: paper
event_title: 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and  19th International Symposium on Advanced Intelligent Systems  in conjunction with Intelligent Systems Workshop
event_location: Toyama, Japan
event_dates: 5-8 December 2018
event_type: conference
refereed: TRUE
citation:   Doan, Van Viet and Nguyen, Duy Hung and Tran, Quoc Long and Nguyen, Do Van and Le, Thanh Ha  (2018) Real-time Image Semantic Segmentation Networks with Residual Depth-wise Separable Blocks.  In: 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop, 5-8 December 2018, Toyama, Japan.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3263/1/review_2.pdf