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Learning augmented memory joint aberrance repressed correlation filters for visual tracking

With its outstanding performance and tracking speed, discriminative correlation filters (DCF) have gained much attention in visual object tracking, where time-consuming correlation operations can be efficiently computed utilizing the discrete Fourier transform (DFT) with symmetric properties. Nevert...

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Bibliographic Details
Main Authors: Ji, Yuanfa, He, Jianzhong, Sun, Xiyan, Bai, Yang, Wei, Zhaochuan, Kamarul Hawari, Ghazali
Format: Article
Language:English
Published: MDPI 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/40157/1/Learning%20augmented%20memory%20joint%20aberrance%20repressed%20correlation.pdf
http://umpir.ump.edu.my/id/eprint/40157/
https://doi.org/10.3390/sym14081502
https://doi.org/10.3390/sym14081502
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http://umpir.ump.edu.my/id/eprint/40157/1/Learning%20augmented%20memory%20joint%20aberrance%20repressed%20correlation.pdf
http://umpir.ump.edu.my/id/eprint/40157/
https://doi.org/10.3390/sym14081502
https://doi.org/10.3390/sym14081502

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