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ICCV 2021 Workshop: Self-supervised Learning for Next-Generation Industry-level Autonomous Driving
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ICCV 2021 Workshop: Self-supervised Learning for Next-Generation Industry-level Autonomous Driving ICCV 2021 Workshop: Self-supervised Learning for Next-Generation Industry-level Autonomous Driving Home Call for Submissions Schedule Speakers Organizers Program Committee Challenge Accepted Papers Online Workshop, October 16th, 2021 Autonomous driving systems are posed to dramatically change society and while supervised learning approaches have given significant performance improvements in many problems (e.g. 2D detection, instance segmentation and 3D Lidar Detection) in the field of self-driving, they are notorious data hungry, requiring extensive annotation efforts. To facilitate an industry-level autonomous driving system, more label-efficient approaches are needed where visual recognition models should be equipped with the ability to self-explore, self-train and self-adapt across diverse new-appearing geographies, streets, cities, weather conditions, object...
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