Zero Shot Learning via Multi-Scale Manifold Regularization

CVPR 2017 Shay DeutschSoheil KolouriKyungnam KimYuri OwechkoStefano Soatto

We address zero-shot learning using a new manifold alignment framework based on a localized multi-scale transform on graphs. Our inference approach includes a smoothness criterion for a function mapping nodes on a graph (visual representation) onto a linear space (semantic representation), which we optimize using multi-scale graph wavelets... (read more)

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