• Corpus ID: 246431014

Learning Super-Features for Image Retrieval

  title={Learning Super-Features for Image Retrieval},
  author={Philippe Weinzaepfel and Thomas Lucas and Diane Larlus and Yannis Kalantidis},
Methods that combine local and global features have recently shown excellent performance on multiple challenging deep image retrieval benchmarks, but their use of local features raises at least two issues. First, these local features simply boil down to the localized map activations of a neural network, and hence can be extremely redundant. Second, they are typically trained with a global loss that only acts on top of an aggregation of local features; by contrast, testing is based on local… 
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  • Albert Gordo
  • Computer Science
    2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2015
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