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I appreciate this overview, but something that isn’t clear to me is how SAM 2 compares to efficient SAM and the other improvements that are based on SAM 1? Is SAM 2 better across-the-board or is it better than SAM 1 but not a slam dunk compared to efficient SAM and the others? Especially as it relates to speed and model size. Should we wait for someone to make an efficient SAM 2?

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SAM 2's key contribution is adding time-based segmentation to apply to videos. Even on images alone, the authors note [0] the image-based segmentation benchmark does exceed SAM 1 performance. There have been some weaknesses exposed in areas of SAM 2 vs SAM 1, like potentially medical images [1]. Efficient SAM trades SAM 1 accuracy for ~40x speedup. I suspect we will soon see Efficient SAM 2.

[0] https://x.com/josephofiowa/status/1818087122517311864 [1] https://x.com/bowang87/status/1821021898928443520?s=46&t=9K-...

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