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Pytorch implementation of CVPR'16 paper "Learning Deep Representations of Fine-Grained Visual Descriptions", by Reed et al.

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Implementation of Convolutional Recurrent Neural Nets for zero-shot retrieval of images based on corresponding captions.

CRNN

CRNNs consist of 1D Convolutional blocks followed by a RNN. Convolutions decrease the sequence length of the captions, allowing the RNN to learn efficiently.

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Pytorch implementation of CVPR'16 paper "Learning Deep Representations of Fine-Grained Visual Descriptions", by Reed et al.

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