After the first successes of deep learning, designing neural network architectures with desirable performance criteria for a given task (for example, high accuracy or low latency) has been a challenging problem. Some call it alchemy and some intuition, but the task of discovering a novel architecture often involves a tedious and costly trial-and-error process of searching in an exponentially large…
]]>Autonomous vehicles require fast and accurate perception of the surrounding environment in order to accomplish a wide set of tasks concurrently in real time. Systems need to handle the detection of obstacles, determine the boundaries of lanes, intersection detection, and sign recognition among many more functions over a large variety of environments, conditions, and situations and do this work…
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