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SAM struggles in concealed scenes — empirical study on “Segment Anything”

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References

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Acknowledgements This work was supported by National Key R&D Program of China (Grant No. 2022ZD0119101).

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Authors and Affiliations

  1. School of Computing, Australian National University, Canberra, 2601, Australia

    Ge-Peng Ji

  2. Computer Vision Lab (CVL), ETH Zurich, Zurich, 8092, Switzerland

    Deng-Ping Fan & Luc Van Gool

  3. Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China

    Peng Xu & Bowen Zhou

  4. College of Computer Science, Nankai University, Tianjin, 300071, China

    Ming-Ming Cheng

Authors
  1. Ge-Peng Ji
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  2. Deng-Ping Fan
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  3. Peng Xu
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  4. Bowen Zhou
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  5. Ming-Ming Cheng
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  6. Luc Van Gool
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Correspondence to Peng Xu.

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Ji, GP., Fan, DP., Xu, P. et al. SAM struggles in concealed scenes — empirical study on “Segment Anything”. Sci. China Inf. Sci. 66, 226101 (2023). https://doi.org/10.1007/s11432-023-3881-x

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  • DOI: https://doi.org/10.1007/s11432-023-3881-x

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