Multilayer Perceptron Generative Model via Adversarial Learning for Robust Visual Tracking

Multilayer Perceptron Generative Model via Adversarial Learning for Robust Visual Tracking

Visual tracking is an open and exciting field of research. The researchers introduced great efforts to be close to the ideal state of stable tracking of objects regardless of different appearances or circumstances. Owing to the attractive advantages of generative adversarial networks (GANs), they ha...

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Bibliographic Details
Main Authors: Eman R. AlBasiouny, Abdel-Fattah Attia Heliel, Hossam E. Abdelmunim, Hazem M. Abbas
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
generative adversarial network
multilayer perceptron
visual tracking
Online Access:https://ieeexplore.ieee.org/document/9954016/

Internet

https://ieeexplore.ieee.org/document/9954016/

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