22 citations · 75 across the 9 of their papers we have counts for
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cs.LG2019★ 22 cited
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
Jo Schlemper, Ilkay Oksuz, James R. Clough +5
AUTOMAP is a promising generalized reconstruction approach, however, it is not scalable and hence the practicality is limited. We present dAUTOMAP, a novel way for decomposing the…
cs.LG2019★ 1 cited
Deep Hashing using Entropy Regularised Product Quantisation Network
Jo Schlemper, Jose Caballero, Andy Aitken +1
In large scale systems, approximate nearest neighbour search is a crucial algorithm to enable efficient data retrievals. Recently, deep learning-based hashing algorithms have been…