XIMAGENET-12: an explainable AI benchmark dataset for model robustness evaluation

Qiang Li, Dan Zhang, Shengzhao Lei, Xun Zhao, Weiwei Li, Porawit Kamnoedboon, Junhao Dong, Shuyan Li

Research output: Working paper

Access to Document

XIMAGENET-12: an explainable AI benchmark dataset for model robustness evaluation
Copyright 2023 the authors. This is an open access article published under a Creative Commons Attribution-NonCommercial-ShareAlike License (https://creativecommons.org/licenses/by-nc-sa/4.0/), which permits use, distribution and reproduction for non-commercial purposes, provided the author and source are cited and new creations are licensed under the identical terms.
Other version, 27.4 MBLicence: CC BY-NC-SA

@techreport{93ae912e584e4ba1bf6b3f9cd095cc4b,

title = "XIMAGENET-12: an explainable AI benchmark dataset for model robustness evaluation",

author = "Qiang Li and Dan Zhang and Shengzhao Lei and Xun Zhao and Weiwei Li and Porawit Kamnoedboon and Junhao Dong and Shuyan Li",

year = "2024",

month = apr,

day = "18",

language = "English",

publisher = "arXiv",

type = "WorkingPaper",

institution = "arXiv",

}

TY - UNPB

T1 - XIMAGENET-12: an explainable AI benchmark dataset for model robustness evaluation

AU - Li, Qiang

AU - Zhang, Dan

AU - Lei, Shengzhao

AU - Zhao, Xun

AU - Li, Weiwei

AU - Kamnoedboon, Porawit

AU - Dong, Junhao

AU - Li, Shuyan

PY - 2024/4/18

Y1 - 2024/4/18

M3 - Working paper

BT - XIMAGENET-12: an explainable AI benchmark dataset for model robustness evaluation

PB - arXiv

ER -