Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector

A deep learning model that learns subject-level representation from a set of local features. The model represents the image volume as a bag (or set) of local features and can accommodate input images of variable sizes.

Data and Resources

Cite this as

Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank Sciurba, Barnabas Poczos, Kayhan N. Batmanghelich (2024). Dataset: Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector. https://doi.org/10.57702/dn2vz0m7

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1806.11217
Author Sumedha Singla
More Authors
Mingming Gong
Siamak Ravanbakhsh
Frank Sciurba
Barnabas Poczos
Kayhan N. Batmanghelich
Homepage https://arxiv.org/abs/1709.09437