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README.md | 2 years ago | |
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Ecoset
是一个收集了来自565个基本类别的多于150万张图像的集合,相比于ImageNet,它能更好地捕捉与人类相关的对象的分布。Ecoset的类别是在日常语言使用中频繁且具体的物体,因而反映了世界上重要的物理对象。
研究人员使用两个神经网络架构来测试基于这个生态学上更合理的数据集上的训练效果:AlexNet
和vNet
。其中,vNet
是一种新颖的架构,旨在模仿人类腹侧通路中神经元感受野逐渐增大的事实。结果表明,基于Ecoset
的训练在预测人类高级视觉皮层的表征以及感知决策方面取得了显著提升,超越了先前的最优水平(SOTA)。
论文:Mehrer, J., Spoerer, C. J., Jones, E. C., Kriegeskorte, N., & Kietzmann, T. C. (2021). An ecologically motivated image dataset for deep learning yields better models of human vision. Proceedings of the National Academy of Sciences, 118(8). https://www.pnas.org/content/118/8/e2011417118
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