Deep visual embedding for image classification

This paper proposes a new visual embedding method for image classification. It goes further in the analogy with textual data and allows us to read visual sentences in a certain order as in the case of text. The proposed method considers the spatial relations between visual words. It uses a very popular text analysis method called ‘word2vec’. In this method, we learn visual dictionaries based on filters of convolution layers of the convolutional...