Trends in Computer Vision with Georgia Gkioxari - #549
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Transforming Computer Vision with Transformers
This chapter explores the advancements and challenges of applying transformer networks in computer vision, highlighting their advantages over traditional convolutional neural networks (CNNs). The discussion covers the transition in methodologies, the role of self-supervised learning, and the significance of rich datasets for effective model training. It also emphasizes the innovative potential of recent initiatives like OpenAI's CLIP and the need for rethinking existing data practices to foster genuine progress in the field.
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