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Understanding Meta AI's Segment Anything Model (SAM) - Architecture, Data Engine, and Results

Understanding Meta AI's Segment Anything Model (SAM) - Architecture, Data Engine, and Results

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- Problem with Vision Models

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- Problem with Vision Models

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Understanding Meta AI's Segment Anything Model (SAM) - Architecture, Data Engine, and Results

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  1. 1 - Foundational models in NLP
  2. 2 - Problem with Vision Models
  3. 3 - Prompting in Segmentation
  4. 4 - SAM Model Animation
  5. 5 - SAM Model Training Data Engine
  6. 6 - SA-1B Dataset
  7. 7 - Zero-Shot Transfer Learning Tasks
  8. 8 - Zero-Shot Transfer Learning Results

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