Results 21 to 30 of about 666,291 (363)

Research Progress of Lightweight Neural Network Convolution Design [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
Traditional neural networks have the disadvantages of over-reliance on hardware resources and high requirements for application equipment performance. Therefore, they cannot be deployed on edge devices and mobile terminals with limited computing power ...
MA Jinlin, ZHANG Yu, MA Ziping, MAO Kaiji
doaj   +1 more source

HSKDLR: Lightweight Lip Reading Method Based on Homogeneous Self-Knowledge Distillation [PDF]

open access: yesJisuanji kexue yu tansuo, 2023
In order to solve the problems of low recognition rate and large amount of calculation in lip reading, this paper proposes a lightweight model for lip reading named HSKDLR (homogeneous self-knowledge distillation for lip reading).
MA Jinlin, LIU Yuhao, MA Ziping, GONG Yuanwen, ZHU Yanbin
doaj   +1 more source

Artistic Image Technology and Computer Graphics

open access: goldThe Journal of The Institute of Image Information and Television Engineers, 2018
Nobuhiko Mukai   +3 more
openalex   +3 more sources

Recent advances in transient imaging: A computer graphics and vision perspective

open access: diamondVisual Informatics, 2017
Transient imaging has recently made a huge impact in the computer graphics and computer vision fields. By capturing, reconstructing, or simulating light transport at extreme temporal resolutions, researchers have proposed novel techniques to show movies of light in motion, see around corners, detect objects in highly-scattering media, or infer material
Adrián Jarabo   +3 more
openalex   +7 more sources

Dataset for classification of computer graphic images and photographic images

open access: yesIAES International Journal of Artificial Intelligence (IJ-AI), 2022
<span lang="EN-US">The recent advancements in computer graphics (CG) image rendering techniques have made it easy for the content creators to produce high quality computer graphics similar to photographic images (PG) confounding the most naïve users. Such images used with negative intent, cause serious problems to the society.
Halaguru Basavarajappa Basanth Kumar   +1 more
openaire   +2 more sources

Few-Shot Knowledge Graph Completion Model Based on Relation Learning

open access: yesApplied Sciences, 2023
Considering the complexity of entity pair relations and the information contained in the target neighborhood in few-shot knowledge graphs (KG), existing few-shot KG completion methods generally suffer from insufficient relation representation learning ...
Weijun Li   +4 more
doaj   +1 more source

An Implementation of Computer Graphics as Prepress Image Enhancement Process

open access: bronzeInternational Journal of Computer Applications, 2012
4 Pages,8 ...
Jaswinder SinghDilawari, Ravinder Khanna
openalex   +4 more sources

Survey on Visual Transformer for Image Classification [PDF]

open access: yesJisuanji kexue yu tansuo
Transformer is a deep learning model based on the self-attention mechanism, showing tremendous potential in computer vision. In image classification tasks, the key challenge lies in efficiently and accurately capturing both local and global features of ...
PENG Bin, BAI Jing, LI Wenjing, ZHENG Hu, MA Xiangyu
doaj   +1 more source

Constructing the invisible - Computer graphics and the end of Optical Media

open access: yescommunication +1, 2018
This media archaeology of early computer graphics tackles the relation between the imaginary and technical media. We focus on the algorithmic procedures and mathematical principles driving 3D computer graphics during the 1970’s and we frame them in a ...
Ricardo Cedeño Montaña, Christina Vagt
doaj   +1 more source

Generating ASCII-Art: A Nifty Assignment from a Computer Graphics Programming Course [PDF]

open access: yes, 2017
We present a graphics application programming assignment from an introductory programming course with a computer graphics focus. This assignment involves simple image-processing, asking students to write a conversion program that turns images into ASCII ...
Anderson, Eike F.
core   +1 more source

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