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A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices
In this paper, we propose a methodology that solves this problem by extending the capability of existing multi-label classification and provide models with lower latency that requires smaller memory size when deployed on edge devices.
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