Deep Multiple Instance Feature Learning via Variational Autoencoder

6 Jul 2018Shabnam Ghaffarzadegan

We describe a novel weakly supervised deep learning framework that combines both the discriminative and generative models to learn meaningful representation in the multiple instance learning (MIL) setting. MIL is a weakly supervised learning problem where labels are associated with groups of instances (referred as bags) instead of individual instances... (read more)

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