Abstract: The efficiency of variational autoencoders (VAEs) and its expansions is the major topic of this study, which investigates the potential of deep learning variational encoders in the field of ...

Abstract: For any image watermarking algorithm, how to achieve the trade-off among robustness, imperceptibility, and watermark capacity is a challenging problem because of their mutually constrained ...

Model based image search (i.e. using machine learning based models trained on image similarity rather than traditional Lucene based search on captions) Unsupervised or self supervised, because ...