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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI Trends 2024: Computer Vision with Naila Murray - #665
Jan 2, 2024
Naila Murray, Director of AI Research at Meta, discusses the cutting-edge landscape of computer vision. They explore advancements like controllable AI generation, multimodal models, and tools such as Segment Anything for intuitive image segmentation. Naila dives into the possibilities of ControlNet and DINOv2, emphasizing their roles in object recognition and complex scenarios. Looking ahead, she shares insights on opportunities in self-supervised learning and generative models, forecasting exciting innovations for 2024 in AI.
52:01
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Quick takeaways
- Finding the balance between memorization and creativity in vision models is an exciting opportunity in computer vision.
- The use of simulated data can expand training data and bridge the gap between limited real data and the need for large-scale training in vision models.
Deep dives
Balancing Memorization and Creativity in Vision Models
One exciting opportunity in computer vision is finding the balance between memorization and creativity in vision models. This involves exploring how to encode and retrieve knowledge while also allowing for imaginative and creative outputs. This will require research on controlling the knowledge storage and retrieval processes within vision models to enable a combination of factual accuracy and creative generation.
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