EdgeSAM: prompt-in-the-loop distillation for on-device deployment of SAM
This paper presents EdgeSAM, an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. Our approach involves distilling the original ViT-based SAM image encoder into a purely CNN-based architecture, better...
Main Authors: | Zhou, Chong, Li, Xiangtai, Loy, Chen Change, Dai, Bo |
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Other Authors: | College of Computing and Data Science |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/180234 http://arxiv.org/abs/2312.06660v2 |
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