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pro vyhledávání: '"Zhao, YaYan"'
We present CUPID: a visualization method for the contextual understanding of prompt-conditioned image distributions. CUPID targets the visual analysis of distributions produced by modern text-to-image generative models, wherein a user can specify a s
Externí odkaz:
http://arxiv.org/abs/2406.07699
In recent years, considerable work has been devoted to explaining predictive, deep learning-based models, and in turn how to evaluate explanations. An important class of evaluation methods are ones that are human-centered, which typically require the
Externí odkaz:
http://arxiv.org/abs/2406.07702
Autor:
Zhao, YaYan, Li, Jie, Dian, MeiJuan, Bie, YaNan, Peng, ZhiTao, Zhou, Ying, Zhou, BingQian, Hao, WeiChao, Wang, XiCheng
Publikováno v:
Cell Death Discovery; 12/18/2024, Vol. 10 Issue 1, p1-21, 21p
Akademický článek
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Autor:
Hao, WeiChao, Dian, MeiJuan, Zhou, Ying, Zhong, QiuLing, Pang, WenQian, Li, ZiJian, Zhao, YaYan, Ma, JiaCheng, Lin, XiaoLin, Luo, RenRu, Li, YongLong, Jia, JunShuang, Shen, HongFen, Huang, ShiHao, Dai, GuanQi, Wang, JiaHong, Sun, Yan, Xiao, Dong
Publikováno v:
Nature Communications; 10/4/2022, Vol. 13 Issue 1, p1-23, 23p