Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning

MVA, pp. 194-197, 2017.

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Abstract:

We examine hierarchical approaches to image classification problems that include categories for which we have no training examples. Building on prior work in hierarchical classification that optimizes the trade-off between depth in a tree and accuracy of placement, we compare the performance of multiple formulations of the problem on both...More

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