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

Author:

Raghavendra S.1ORCID,Ramyashree 1ORCID,Abhilash S. K.2,Nookala Venu Madhav2,Kaliraj S.1ORCID

Affiliation:

1. Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India

2. PathPartner Technology Private Ltd., Bengaluru, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference30 articles.

1. Person Attribute Recognition with a Jointly-Trained Holistic CNN Model

2. ImageNet classification with deep convolutional neural networks;krizhevsky;Commun ACM,2012

3. Spatial transformer networks;jaderberg;Proc Adv Neural Inf Process Syst,2015

4. Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios

5. Deeply-supervised nets;lee;Proc 18th Int Conf Artif Intell Statist,2015

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