Segment Anything Model (SAM) from Meta AI: model architecture, data engine, results and limitations

Описание: Meta AI recently introduce a foundational model for image segmentation called Segment Anything Model or SAM in short. This video explain the motivation for SAM, the model architecture, its novel SA-1B dataset and the results and limitations of zero-shot transfer learning.

Hope its useful.

segment anything website: https://segment-anything.com
segment anything code: https://github.com/facebookresearch/s...
segment anything demo: https://segment-anything.com/demo
SA-1B dataset:   / segment-anything-downloads  


⌚️ ⌚️ ⌚️ TIMESTAMPS ⌚️ ⌚️ ⌚️
0:00 - Foundational models in NLP
1:07 - Problem with Vision Models
2:01 - Prompting in Segmentation
2: 56 - SAM Model Architecture
5:15 - SAM Model Animation
6:15 - SAM Model Training (Data Engine)
9:21 - SA-1B Dataset
10:04 - Zero-Shot Transfer Learning Tasks
11:33 - Zero-Shot Transfer Learning Results


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