13 citations · 14 across the 4 of their papers we have counts for
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cs.CV2024
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam, Simon Korman
Many leading self-supervised methods for unsupervised representation learning, in particular those for embedding image features, are built on variants of the instance discriminatio…
cs.LG2024★ 1 cited
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam, Simon Korman
The Balanced-Pairwise-Affinities (BPA) feature transform is designed to upgrade the features of a set of input items to facilitate downstream matching or grouping related tasks. Th…