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Found 3 papers, 1 papers with code
Compressed Real Numbers for AI: a case-study using a RISC-V CPU
As recently demonstrated, Deep Neural Networks (DNN), usually trained using single precision IEEE 754 floating point numbers (binary32), can also work using lower precision.
VALUE: Large Scale Voting-based Automatic Labelling for Urban Environments
This paper presents a simple and robust method for the automatic localisation of static 3D objects in large-scale urban environments.
Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks
Through deep learning and computer vision techniques, driving manoeuvres can be predicted accurately a few seconds in advance.
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