105 citations · 139 across the 46 of their papers we have counts for
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cs.CV2018
Unsupervised Natural Image Patch Learning
Dov Danon, Hadar Averbuch-Elor, Ohad Fried +1
Learning a metric of natural image patches is an important tool for analyzing images. An efficient means is to train a deep network to map an image patch to a vector space, in whic…
cs.CV2018
Clustering-driven Deep Embedding with Pairwise Constraints
Sharon Fogel, Hadar Averbuch-Elor, Jacov Goldberger +1
Recently, there has been increasing interest to leverage the competence of neural networks to analyze data. In particular, new clustering methods that employ deep embeddings have b…