Segment Anything Is Not Always Perfect: An Investigationof SAM on Different Real-world Applications
文献类型:期刊论文
作者 | Wei Ji1; Jingjing Li1; Qi Bi2; Tingwei Liu3; Wenbo Li4![]() |
刊名 | Machine Intelligence Research
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出版日期 | 2024 |
卷号 | 21期号:4页码:617-630 |
关键词 | Segment anything model (SAM) visual perception segmentation foundational model computer vision |
ISSN号 | 2731-538X |
DOI | 10.1007/s11633-023-1385-0 |
英文摘要 | Recently, Meta AI Research approaches a general, promptable segment anything model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B). Without a doubt, the emergence of SAM will yield significant benefits for a wide array of practical image segmentation applications. In this study, we conduct a series of intriguing investigations into the performance of SAM across various applications, particularly in the fields of natural images, agriculture, manufacturing, remote sensing and healthcare. We analyze and discuss the benefits and limitations of SAM, while also presenting an outlook on its future development in segmentation tasks. By doing so, we aim to give a comprehensive understanding of SAM′s practical applications. This work is expected to provide in sights that facilitate future research activities toward generic segmentation. Source code is publicly available at https://github.com/LiuTingWed/SAM-Not-Perfect. |
源URL | [http://ir.ia.ac.cn/handle/173211/58562] ![]() |
专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
作者单位 | 1.University of Alberta, Edmonton T6G 2R3, Canada 2.Wuhan University, Wuhan 430072, China 3.Dalian University of Technology, Dalian 116024, China 4.Samsung Research America, Mountain View 94043, USA |
推荐引用方式 GB/T 7714 | Wei Ji, Jingjing Li, Qi Bi,et al. Segment Anything Is Not Always Perfect: An Investigationof SAM on Different Real-world Applications[J]. Machine Intelligence Research,2024,21(4):617-630. |
APA | Wei Ji, Jingjing Li, Qi Bi, Tingwei Liu,Wenbo Li,& Li Cheng.(2024).Segment Anything Is Not Always Perfect: An Investigationof SAM on Different Real-world Applications.Machine Intelligence Research,21(4),617-630. |
MLA | Wei Ji,et al."Segment Anything Is Not Always Perfect: An Investigationof SAM on Different Real-world Applications".Machine Intelligence Research 21.4(2024):617-630. |
入库方式: OAI收割
来源:自动化研究所
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