variational autoencoders

Deep image hashing based on twin-bottleneck hashing with variational autoencoders

With the ever-increasing availability of data, the need for efficient and accurate image retrieval methods has become larger and larger. Deep hashing has proven to be a promising solution, by defining a hash function to convert the data into a …

Invertible local image descriptors learned with variational autoencoders

In this paper, we propose an efficient method for learning local image descriptor and its inversion function using a variational autoencoder (VAE). We design a loss function of the VAE specifically for this purpose, which, on one hand, incentivises …