NU-Net: Deep Residual Wide Field of View Convolutional Neural Network for Semantic Segmentation

2018 ◽  
Author(s):  
Mohamed Samy ◽  
Karim Amer ◽  
Kareem Eissa ◽  
Mahmoud Shaker ◽  
Mohamed ElHelw
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Semantic Segmentation ◽  
Field Of View ◽  
Wide Field ◽  
Wide Field Of View

STM studies of crystal growth

1991 ◽  
Vol 49 ◽  
pp. 374-375
Author(s):  
M. G. Lagally
Keyword(s):  
Crystal Growth ◽  
Molecular Beam ◽  
Chemical Vapor ◽  
Sputter Deposition ◽  
Field Of View ◽  
Scanning Tunneling ◽  
Wide Field ◽  
Tunneling Microscopy ◽  
Wide Field Of View ◽  
The One

It has been recognized since the earliest days of crystal growth that kinetic processes of all Kinds control the nature of the growth. As the technology of crystal growth has become ever more refined, with the advent of such atomistic processes as molecular beam epitaxy, chemical vapor deposition, sputter deposition, and plasma enhanced techniques for the creation of “crystals” as little as one or a few atomic layers thick, multilayer structures, and novel materials combinations, the need to understand the mechanisms controlling the growth process is becoming more critical. Unfortunately, available techniques have not lent themselves well to obtaining a truly microscopic picture of such processes. Because of its atomic resolution on the one hand, and the achievable wide field of view on the other (of the order of micrometers) scanning tunneling microscopy (STM) gives us this opportunity. In this talk, we briefly review the types of growth kinetics measurements that can be made using STM. The use of STM for studies of kinetics is one of the more recent applications of what is itself still a very young field.

Design and verification of high-precision multi-star simulator with a wide field of view

2020 ◽  
Vol 13 (6) ◽  
pp. 1-9
Author(s):  
XU Hong-gang ◽  
◽  
HAN Bing ◽  
LI Man-li ◽  
MA Hong-tao ◽  
...  
Keyword(s):  
High Precision ◽  
Field Of View ◽  
Wide Field ◽  
Wide Field Of View

scholarly journals Semantic Segmentation of Urban Street Scene Based on Convolutional Neural Network

2020 ◽  
Vol 1682 ◽  
pp. 012077
Author(s):  
Tingting Li ◽  
Chunshan Jiang ◽  
Zhenqi Bian ◽  
Mingchang Wang ◽  
Xuefeng Niu
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Semantic Segmentation ◽  
Urban Street ◽  
Street Scene

Fabrication of bioinspired omnidirectional and gapless microlens array for wide field-of-view detections

2012 ◽  
Vol 100 (13) ◽  
pp. 133701 ◽  
Author(s):  
Hewei Liu ◽  
Feng Chen ◽  
Qing Yang ◽  
Pubo Qu ◽  
Shengguan He ◽  
...  
Keyword(s):  
Microlens Array ◽  
Field Of View ◽  
Wide Field ◽  
Wide Field Of View

scholarly journals Wide field-of-view lens-free fluorescent imaging on a chip

Lab on a Chip ◽  
2010 ◽  
Vol 10 (7) ◽  
pp. 824 ◽  
Author(s):  
Ahmet F. Coskun ◽  
Ting-Wei Su ◽  
Aydogan Ozcan
Keyword(s):  
Fluorescent Imaging ◽  
Field Of View ◽  
Wide Field ◽  
Wide Field Of View

scholarly journals Wide field-of-view crossed Dragone optical system using anamorphic aspherical surfaces

2018 ◽  
Vol 57 (15) ◽  
pp. 4171 ◽  
Author(s):  
Shingo Kashima ◽  
Masashi Hazumi ◽  
Hiroaki Imada ◽  
Nobuhiko Katayama ◽  
Tomotake Matsumura ◽  
...  
Keyword(s):  
Optical System ◽  
Field Of View ◽  
Wide Field ◽  
Wide Field Of View

Fisheye lens camera based surveillance system for wide field of view monitoring

Optik ◽  
2016 ◽  
Vol 127 (14) ◽  
pp. 5636-5646 ◽  
Author(s):  
Hyungtae Kim ◽  
Jaehoon Jung ◽  
Joonki Paik
Keyword(s):  
Surveillance System ◽  
Field Of View ◽  
Wide Field ◽  
Fisheye Lens ◽  
Wide Field Of View
Sign in / Sign up

Export Citation Format

Share Document