Self-supervised Learning for Autonomous Driving

Self-supervised learning enables a vectorized mapping of unlabeled datasets. When dealing with large visual datasets, self-supervised techniques remove those datapoints that are biased or redundant, which
would otherwise damage the AI. In autonomous driving, as companies gather petabytes of visual data, supervised learning enables them to identify the most relevant data points, thus increasing deployment speed while decreasing costs.

Watch On-Demand | AutoSens Brussels 2021

An AutoSens Brussels 2021ticket is required to watch this video On Demand.

Please login below with the email used at the time of your registration.

Register

Your personal data will be used to support your experience throughout this website, to manage access to your account, and for other purposes described in our privacy policy. Sense Media, on behalf of AutoSens, needs the contact information you provide to us to update you with information about AutoSens and our products. You may unsubscribe from these communications at anytime. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our privacy policy.