遇见数据集

brain-decoding-cookbook

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DataCite Commons2025-02-17 更新2024-07-29 收录
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Example data used in brain-decoding-cookbook. The original Ceffe parameters of pretrained VGG-19 is available at http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_19_layers.caffemodel. The original Caffe parameters of the pretrained image generator is available at https://lmb.informatik.uni-freiburg.de/resources/binaries/arxiv2016_alexnet_inversion_with_gans/release_deepsim_v0.zip. See also Dosovitskiy &amp; Brox (2016) Generating Images with Perceptual Similarity Metrics based on Deep Networks. https://arxiv.org/abs/1602.02644. The decoded features ("decoded_features-ImageNetTest-deeprecon_originals-VGG19.zip") are produced by Shen, Horikawa, Majima, and Kamitani (2019) Deep Image Reconstruction from Human Brain Activity. <em>PLoS Computational Biology</em> 15:e1006633. <br>

本数据集为脑解码手册(brain-decoding-cookbook)中使用的示例数据。 预训练VGG-19(VGG-19)的原始Caffe(Caffe)参数可从以下地址获取:http://www.robots.ox.ac.uk/~vgg/software/very_deep/caffe/VGG_ILSVRC_19_layers.caffemodel。 预训练图像生成器的原始Caffe参数可从以下地址获取:https://lmb.informatik.uni-freiburg.de/resources/binaries/arxiv2016_alexnet_inversion_with_gans/release_deepsim_v0.zip。另可参考Dosovitskiy与Brox于2016年发表的论文《基于深度网络感知相似度指标的图像生成》,论文链接为https://arxiv.org/abs/1602.02644。 本次提供的解码特征("decoded_features-ImageNetTest-deeprecon_originals-VGG19.zip")由Shen、Horikawa、Majima与Kamitani在2019年发表的《基于人脑活动的深度图像重建》一文生成,该论文刊载于《PLoS计算生物学(PLoS Computational Biology)》15卷:e1006633。

提供机构:
figshare
创建时间:
2022-11-16
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