How AI Happens
10 Years of FAIR at Meta with Sama Director of ML Jerome Pasquero
Dec 8, 2023
Discussion on Meta's Segment Anything Model and the limitations of the 'some' model in object segmentation. Exploring human augmentation with Ego XO4D technology and the potential of virtual reality. The significance of self-supervised learning and the excitement of unlimited resources.
26:55
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Quick takeaways
- Human supervision and correction are necessary for specialized cases in Meta's Segment Anything Model despite its impressive results.
- Ego XO4D technology by Meta aims to enhance learning through immersive experiences and multimodality beyond vision and language-based approaches.
Deep dives
Segment Anything Model: Automatic Object Annotation
The podcast explores the segment anything model showcased by Meta, which offers automatic object annotation with more specific bounding boxes and detailed polygonal segmentation. While the model shows impressive results and granularity, it has limitations, especially with unknown objects and attributes. Human supervision and correction are still necessary for specific or specialized cases. The model performs well in consumer applications with a diverse dataset but may struggle in industry settings where the object variety is extensive. The podcast emphasizes the importance of human annotation in complementing the model's abilities and meeting specific business requirements.
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