Results 31 to 40 of about 24,548 (256)

PSCNET: EFFICIENT RGB-D SEMANTIC SEGMENTATION PARALLEL NETWORK BASED ON SPATIAL AND CHANNEL ATTENTION [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
RGB-D semantic segmentation algorithm is a key technology for indoor semantic map construction. The traditional RGB-D semantic segmentation network, which always suffer from redundant parameters and modules.
S. Q. Du, S. Q. Du, S. J. Tang, S. J. Tang, W. X. Wang, W. X. Wang, X. M. Li, X. M. Li, Y. H. Lu, R. Z. Guo, R. Z. Guo   +10 more
doaj   +1 more source

Survey of Point Cloud Semantic Segmentation Based on Deep Learning

Jisuanji kexue yu tansuo, 2021
In recent years, the popularity of depth sensors and 3D laserscanners has led to a rapid development of 3D point clouds processing methods. Semantic segmentation of point cloud, as a key step in understanding 3D scenes, has attracted extensive attention ...
JING Zhuangwei, GUAN Haiyan, ZANG Yufu, NI Huan, LI Dilong, YU Yongtao
doaj   +1 more source

Asynchronous Semantic Background Subtraction

Journal of Imaging, 2020
The method of Semantic Background Subtraction (SBS), which combines semantic segmentation and background subtraction, has recently emerged for the task of segmenting moving objects in video sequences.
Anthony Cioppa, Marc Braham, Marc Van Droogenbroeck   +2 more
doaj   +1 more source

Semantic segmentation guided feature point classification and seam fusion for image stitching

Journal of Algorithms & Computational Technology, 2021
Image stitching can be employed to stitch images taken from different times, perspectives, or devices into a panorama with a wider view. However, the imaging specification of images to be stitched is strict. If the imaging specification is not satisfied,
Huafeng Huang, Fei Chen, Hang Cheng, Liyao Li, Meiqing Wang   +4 more
doaj   +1 more source

A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To address the issues of complex backgrounds and poor segmentation performance for small ship objects in sea–land port areas, we propose a sea–land port segmentation algorithm based on spatial and semantic alignment fusion.
Bo Zhang, Yaxiong Chen, Weichong Dang, Shengwu Xiong, Xiaoqiang Lu   +4 more
doaj   +1 more source

Semantic segmentation of UAV remote sensing images based on edge feature fusing and multi-level upsampling integrated with Deeplabv3.

PLoS ONE, 2023
Deeplabv3+ currently is the most representative semantic segmentation model. However, Deeplabv3+ tends to ignore targets of small size and usually fails to identify precise segmentation boundaries in the UAV remote sensing image segmentation task.
Xiaolong Li, Yuyin Li, Jinquan Ai, Zhaohan Shu, Jing Xia, Yuanping Xia   +5 more
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Scene-Aware Deep Networks for Semantic Segmentation of Images

IEEE Access, 2019
Scene classification and semantic segmentation are two important research directions in computer vision. They are widely used in the research of automatic driving and human–computer interaction.
Zhike Yi, Tao Chang, Shuai Li, Ruijun Liu, Jing Zhang, Aimin Hao   +5 more
doaj   +1 more source

Semantic Matching Based on Semantic Segmentation and Neighborhood Consensus

Applied Sciences, 2021
Establishing dense correspondences across semantically similar images is a challenging task, due to the large intra-class variation caused by the unconstrained setting of images, which is prone to cause matching errors.
Huaiyuan Xu, Xiaodong Chen, Huaiyu Cai, Yi Wang, Haitao Liang, Haotian Li   +5 more
doaj   +1 more source