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SAM-BM: An adversarial benchmark for loss functions and multi-scale objects in segment anything models.

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Title: SAM-BM: An adversarial benchmark for loss functions and multi-scale objects in segment anything models.
Authors: Lv, Huanhuan, huanhuanlv@smail.nju.edu.cn, Jiang, Songru, Bai, Yuhao, Wan, Tuohang, Gou, Chang, Chen, Lijun1, chenlj@nju.edu.cn
Source: Computer Vision & Image Understanding; Jun2026, Vol. 269, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194519769
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: SAM-BM: An adversarial benchmark for loss functions and multi-scale objects in segment anything models.
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  Data: <searchLink fieldCode="AU" term="%22Lv%2C+Huanhuan%22">Lv, Huanhuan</searchLink>, <i>huanhuanlv@smail.nju.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Jiang%2C+Songru%22">Jiang, Songru</searchLink><br /><searchLink fieldCode="AU" term="%22Bai%2C+Yuhao%22">Bai, Yuhao</searchLink><br /><searchLink fieldCode="AU" term="%22Wan%2C+Tuohang%22">Wan, Tuohang</searchLink><br /><searchLink fieldCode="AU" term="%22Gou%2C+Chang%22">Gou, Chang</searchLink><br /><searchLink fieldCode="AU" term="%22Chen%2C+Lijun%22">Chen, Lijun</searchLink><relatesTo>1</relatesTo>, <i>chenlj@nju.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Vision+%26+Image+Understanding%22">Computer Vision & Image Understanding</searchLink>; Jun2026, Vol. 269, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194519769
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      – Type: doi
        Value: 10.1016/j.cviu.2026.104789
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      – Code: eng
        Text: English
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      – TitleFull: SAM-BM: An adversarial benchmark for loss functions and multi-scale objects in segment anything models.
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              Text: Jun2026
              Type: published
              Y: 2026
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