Extended Yale b face

The proposed network architecture is shown in Fig. 1. The network consists of three parts-encoder, CSSE layer and decoder. We use convolutional layers in both encoder and decoder networks as it requires less number of parameters than fully connected layers and hence easy to train.

Data and Resources

Cite this as

Krishan Sharma, Shikha Gupta, Renu Rameshan (2024). Dataset: Extended Yale b face. https://doi.org/10.57702/8h0t63fp

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2105.08865
Author Krishan Sharma
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Shikha Gupta
Renu Rameshan
Homepage https://www.csie.ntu.edu.tw/~cjlin/cvlabs/datasets.html