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- **Repository:** [Github - MobileSAM](https://github.com/ChaoningZhang/MobileSAM)
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- **Paper:** [Faster Segment Anything: Towards Lightweight SAM for Mobile Applications](https://arxiv.org/pdf/2306.14289.pdf)
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- **Demo:** [HuggingFace Demo](https://huggingface.co/dhkim2810/MobileSAM)
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**MobileSAM** performs on par with the original SAM (at least visually) and keeps exactly the same pipeline as the original SAM except for a change on the image encoder. Specifically, we replace the original heavyweight ViT-H encoder (632M) with a much smaller Tiny-ViT (5M). On a single GPU, MobileSAM runs around 12ms per image: 8ms on the image encoder and 4ms on the mask decoder.
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- **Repository:** [Github - MobileSAM](https://github.com/ChaoningZhang/MobileSAM)
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- **Paper:** [Faster Segment Anything: Towards Lightweight SAM for Mobile Applications](https://arxiv.org/pdf/2306.14289.pdf)
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- **Demo:** [HuggingFace Demo](https://huggingface.co/spaces/dhkim2810/MobileSAM)
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**MobileSAM** performs on par with the original SAM (at least visually) and keeps exactly the same pipeline as the original SAM except for a change on the image encoder. Specifically, we replace the original heavyweight ViT-H encoder (632M) with a much smaller Tiny-ViT (5M). On a single GPU, MobileSAM runs around 12ms per image: 8ms on the image encoder and 4ms on the mask decoder.
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