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Title: GitHub - lzrobots/DeepEmbeddingModel_ZSL: Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning · GitHub

Open Graph Title: GitHub - lzrobots/DeepEmbeddingModel_ZSL: Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

X Title: GitHub - lzrobots/DeepEmbeddingModel_ZSL: Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

Description: Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning - lzrobots/DeepEmbeddingModel_ZSL

Open Graph Description: Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning - lzrobots/DeepEmbeddingModel_ZSL

X Description: Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning - lzrobots/DeepEmbeddingModel_ZSL

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https://github.com/lzrobots/DeepEmbeddingModel_ZSL#deepembeddingmodel_zsl
Learning a Deep Embedding Model for Zero-Shot Learninghttps://arxiv.org/abs/1611.05088
Li Zhanghttp://www.robots.ox.ac.uk/~lz/
https://github.com/lzrobots/DeepEmbeddingModel_ZSL#requirement
https://github.com/lzrobots/DeepEmbeddingModel_ZSL#data
herehttp://www.robots.ox.ac.uk/~lz/DEM_cvpr2017/data.zip
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https://github.com/lzrobots/DeepEmbeddingModel_ZSL#references
Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Uglyhttps://arxiv.org/abs/1707.00600
Attribute-Based Classification forZero-Shot Visual Object Categorizationhttps://cvml.ist.ac.at/papers/lampert-pami2013.pdf
Zero-Shot Learning by Convex Combination of Semantic Embeddingshttps://arxiv.org/abs/1312.5650
Zero-Shot Learning via Semantic Similarity Embeddinghttps://arxiv.org/abs/1509.04767
DeViSE: A Deep Visual-Semantic Embedding Modelhttp://papers.nips.cc/paper/5204-devise-a-deep-visual-semantic-embedding-model.pdf
Evaluation of Output Embeddings for Fine-Grained Image Classificationhttps://arxiv.org/abs/1409.8403
Latent Embeddings for Zero-shot Classificationhttps://arxiv.org/abs/1603.08895
An embarrassingly simple approach to zero-shot learninghttp://proceedings.mlr.press/v37/romera-paredes15.pdf
Label-Embedding for Image Classificationhttps://arxiv.org/abs/1503.08677
Synthesized Classifiers for Zero-Shot Learninghttps://arxiv.org/abs/1603.00550
Semantic Autoencoder for Zero-Shot Learninghttps://arxiv.org/abs/1704.08345
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