EfficientSAM

[skadamat]

Excited to play with this more! Forked the repo and added the models into the repo itself (migrated from Dropbox): https://github.com/xetdata/EfficientSAM

[IshanMi]

So if I'm understanding this correctly:

The SAM paper from this past April (that let you do zero-shot segmentation on any image, seemingly better than even OpenAI's CLIP) was using a ~600M parameter ViT model to generate image embeddings. And in order to make it less computationally expensive to generate those same embeddings, they replace that model with a smaller ViT encoder that was pre-trained using the masked auto-encoder back propagation method?

[GaggiX]

https://github.com/ChaoningZhang/MobileSAM was the previous attempt at reducing the size of the large image encoder used by SAM.

[cchance]

it's called efficient Sam and it appears to be onpar or better than fastsam but did I miss a memory or speed comparison?

[yorwba]

The comparison is figure 1 of the paper. I think the bubble size represents number of parameters, which likely roughly corresponds to memory consumption.

[naveen99]

can’t wait for everywhere all at once function.

[ShadowBanThis01]

Is what?