Uncertainty in Multitask Learning
Amir discusses the importance of uncertainty estimation in visual processing pipelines, particularly within multitask learning frameworks. He highlights the potential for improved accuracy through consistency across multiple processing pipelines. Looking ahead, he expresses optimism about advancements in autonomous driving technology, hinting at exciting developments on the horizon.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Trends in Computer Vision with Amir Zamir - #338
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