As Elon Musk puts it: A major part of real-world AI has to be solved to make unsupervised, generalized full self-driving work, as the entire road system is designed for biological neural nets with optical imagers. Ah. You finally woke up to what so many of us have been trying to tell...
image segmentationneural netsobject recognitionneural network-based semantic segmentation modelrobot perceptiondriverless visiondriverless vehiclesDriverless vision is one of the important applications of robot perception. With the development of driverless vehicles, the perception and understanding of the ...
Waymo uses an automated process and human labelers to train its neural nets. After they’ve been trained, these giant datasets also need to be pruned and shrunk so they can be deployed in the real world in Waymo’s vehicles. This process, akin to compressing a digital image, is ke...
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Generative adversarial nets. In Proceedings of International Conference on Neural Information Processing Systems; MIT Press: Kuching, Malaysia, 2014; pp. 2672–2680. [Google Scholar] Radford, A.; Metz, L.; Chintala, S. Unsupervised representation learning with deep convolutional generative adversarial ...
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