GRA_Net: A Deep Learning Model for Classification of Age and Gender From Facial Images

Author:

Garain AvishekORCID,Ray BiswarupORCID,Singh Pawan KumarORCID,Ahmadian AliORCID,Senu NorazakORCID,Sarkar RamORCID

Funder

Fundamental Research Grant Scheme (FRGS) grant provided by the Ministry of Education, Malaysia

Universiti Putra Malaysia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Masked face age and gender identification using CAFFE-modified MobileNetV2 on photo and real-time video images by transfer learning and deep learning techniques;Expert Systems with Applications;2024-07

2. Advance Facial Analysis: A Hybrid Approach with CNNs, SVMs, and Random Forest for Age and Gender Estimation;2024 International Conference on Computational Intelligence and Computing Applications (ICCICA);2024-05-23

3. Real-Time Facial Attribute Recognition Using Multi-Task Learning;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

4. Deep Learning based age and gender detection using facial images;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

5. Facial Recognition Unlocking Potential Facing Challenges in Face and Gender Identification;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09

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