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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.
Faculty Supervisor:
Nandita Vijaykumar
Student:
Partner:
SOTI Inc
Discipline:
Computer science
Sector:
Information and cultural industries; Professional, scientific and technical services
University:
University of Toronto
Program:
Accelerate
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