Efficient Deep Learning Approach to Recognize Person Attributes by Using Hybrid Transformers for Surveillance Scenarios

Efficient Deep Learning Approach to Recognize Person Attributes by Using Hybrid Transformers for Surveillance Scenarios

Numerous deep perception technologies and methods are built on the foundation of pedestrian feature identification. It covers various fields, including autonomous driving, spying, and object tracking. A recent study area is the identification of personality traits that has attracted much interest in...

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Bibliographic Details
Main Authors: S. Raghavendra, Ramyashree, S. K. Abhilash, Venu Madhav Nookala, S. Kaliraj
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Attribute recognition
CNN
deep neural network
image classification
transformers
Online Access:https://ieeexplore.ieee.org/document/10034752/

Internet

https://ieeexplore.ieee.org/document/10034752/

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