Search Results for author: Ali Varamesh

Found 3 papers, 1 papers with code

Self-Supervised Ranking for Representation Learning

no code implementations14 Oct 2020 Ali Varamesh, Ali Diba, Tinne Tuytelaars, Luc van Gool

We present a new framework for self-supervised representation learning by formulating it as a ranking problem in an image retrieval context on a large number of random views (augmentations) obtained from images.

Contrastive Learning Image Retrieval +3

MIX'EM: Unsupervised Image Classification using a Mixture of Embeddings

no code implementations18 Jul 2020 Ali Varamesh, Tinne Tuytelaars

We introduce three techniques to successfully train MIX'EM and avoid degenerate solutions; (i) diversify mixture components by maximizing entropy, (ii) minimize instance conditioned component entropy to enforce a clustered embedding space, and (iii) use an associative embedding loss to enforce semantic separability.

Classification General Classification +2

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