Improving Object Tracking by Added Noise and Channel Attention

Improving Object Tracking by Added Noise and Channel Attention

CNN-based trackers, especially those based on Siamese networks, have recently attracted considerable attention because of their relatively good performance and low computational cost. For many Siamese trackers, learning a generic object model from a large-scale dataset is still a challenging task. I...

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Bibliographic Details
Main Authors: Mustansar Fiaz, Arif Mahmood, Ki Yeol Baek, Sehar Shahzad Farooq, Soon Ki Jung
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
Siamese networks
convolutional neural network
visual tracking
noise regularization
attentional mechanism
Online Access:https://www.mdpi.com/1424-8220/20/13/3780

Internet

https://www.mdpi.com/1424-8220/20/13/3780

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