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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.

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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

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Additional Info

Field	Value
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