Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs
@article{Wang2018ZeroShotRV, title={Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs}, author={X. Wang and Yufei Ye and A. Gupta}, journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year={2018}, pages={6857-6866} }
We consider the problem of zero-shot recognition: learning a visual classifier for a category with zero training examples, just using the word embedding of the category and its relationship to other categories, which visual data are provided. [...] Key Method Given a learned knowledge graph (KG), our approach takes as input semantic embeddings for each node (representing visual category). After a series of graph convolutions, we predict the visual classifier for each category.Expand Abstract
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