
![]() | 12.11GB |
![]() | 477.26MB |
Type: Dataset
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Bibtex:
Tags:
Bibtex:
@article{, title= {Downsampled ImageNet 64x64}, keywords= {}, author= {Aaron van den Oord and Nal Kalchbrenner and Koray Kavukcuoglu}, abstract= {This page includes downsampled ImageNet images, which can be used for density estimation and generative modeling experiments. Images come in two resolutions: 32x32 and 64x64, and were introduced in Pixel Recurrent Neural Networks. Please refer to the Pixel RNN paper for more details and results. }, terms= {}, license= {}, superseded= {}, url= {http://image-net.org/small/download.php} }
by Saulzar at 2018-10-16 08:22:25 GMT
by Esmail at 2025-02-18 16:03:23 GMT
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