华为诺亚新作TinySAM:突破高效分割一切的极限! 0. 论文信息 标题:TinySAM: Pushing the Envelope for Efficient Segment Anything Model 作者:TinySAM: Pushing the Envelope for Efficient Segment Anything Model 机构:University of Science and Technology of China、Huawei Noah’s Ark Lab 原文链接:arxiv.org/...
通过这些方法,TinySAM实现了数量级的计算减少,并推动了高效分割任意任务的发展。在各种零样本迁移任务上的大量实验证明了TinySAM相对于对比方法的显著优势。 关键字 分割任意模型、知识蒸馏、量化、分层推理、零样本分割 III. 方法 TinySAM概述 本文提出了...
TinySAM在计算代价降低多个数量级的情况下,仍然保持了SAM模型强大的zero-shot分割能力。 论文见: TinySAM: Pushing the Envelope for Efficient Segment Anything Modelarxiv.org/abs/2312.13789 同时我们开源了TinySAM的Pytorch和Mindspore代码和模型,供大家试用: Pytorch代码: https://github.com/xinghaochen/TinySA...
xinghaochen / TinySAM Star 407 Code Issues Pull requests Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model" sam segment-anything tinysam efficient-sam Updated Oct 5, 2024 Python Improve this page Add a description, image, and links to ...
TinySAM TinySAM: Pushing the Envelope for Efficient Segment Anything Model Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen AAAI 2025 tinysam_demo.mp4 Updates 2025/01/09: TinySAM is accepted by AAAI 2025. ...
SAM by fine-tuning the model. However, the encoders are based on the ViT architecture, which incurs high computational costs when applied directly to 3D medical data, limiting real-time performance on resource-constrained devices. To address these limitations, we introduce TinySAM-Med3D, an ...
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Tiny Vessels Oozed Into Your Neck And Formed the Bruises That You Said You Didn't Want to Fade But They Did and So Did I That Day All I See Are Dark Grey Clouds In the Distance Moving Closer With Every Hour So When You Ask "Was Something Wrong?" That I Think "You're Damn Right...
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