Online multimodal compression using pruning and knowledge distillation for iris recognition
Deep learning models have advanced to the forefront of image recognition tasks, resulting in high-performing but enormous neural networks with millions to billions of parameters. Yet, deploying these models in production systems imposes considerable memory limits. Hence, the research community is...
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Main Authors: | , , , |
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Format: | Article |
Language: | English English |
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Semarak Ilmu Sdn Bhd
2024
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Online Access: | http://irep.iium.edu.my/111162/3/111162_Online%20multimodal%20compression%20using%20pruning_SCOPUS.pdf http://irep.iium.edu.my/111162/4/111162_Online%20multimodal%20compression%20using%20pruning.pdf http://irep.iium.edu.my/111162/ https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/index https://doi.org/10.37934/araset.37.2.6881 |
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http://irep.iium.edu.my/111162/3/111162_Online%20multimodal%20compression%20using%20pruning_SCOPUS.pdfhttp://irep.iium.edu.my/111162/4/111162_Online%20multimodal%20compression%20using%20pruning.pdf
http://irep.iium.edu.my/111162/
https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/index
https://doi.org/10.37934/araset.37.2.6881