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A survey on deep learning approaches for data integration in autonomous driving system
The perception module of self-driving vehicles relies on a multi-sensor system to understand its environment.
FTSO: Effective NAS via First Topology Second Operator
Existing one-shot neural architecture search (NAS) methods have to conduct a search over a giant super-net, which leads to the huge computational cost.
Dionysus: Recovering Scene Structures by Dividing Into Semantic Pieces
This strategy simultaneously enables high effectiveness and efficiency by attending to the most reliable nominators.
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