Code for deep image hashing based on twin-bottleneck architecture with variational autoencoders.
Repository for reproducing results of our paper “Deep image hashing based on twin-bottleneck hashing with variational autoencoders” (Verwilst 2021). It contains the code for training the twin-bottleneck variational autoencoder architecture, evaluating the learned hash function, and performing content-based image retrieval using the learned hash function.