Model compression and inference optimization for UAV’s companion computer

With the evolution of computer vision methods in recent years, more and more scene-understanding methods have been proposed. Meanwhile, SOTI also designed and developed several scene-understanding algorithms. However, due to the limited computing capabilities of UAVs, all these algorithms need to be compressed to use fewer resources. This project will deliver a model compression and deployment pipeline.

Intern: 
Yuxuan Zhang
Faculty Supervisor: 
Nandita Vijaykumar
Province: 
Ontario
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Partner University: 
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