269 citations · 550 across the 34 of their papers we have counts for
4 papers · 1 filter
End-to-end Learning of Deep Visual Representations for Image Retrieval
Albert Gordo, Jon Almazan, Jerome Revaud +1
While deep learning has become a key ingredient in the top performing methods for many computer vision tasks, it has failed so far to bring similar improvements to instance-level i…
Learning the semantic structure of objects from Web supervision
David Novotny, Diane Larlus, Andrea Vedaldi
While recent research in image understanding has often focused on recognizing more types of objects, understanding more about the objects is just as important. Recognizing object p…
Deep Image Retrieval: Learning global representations for image search
Albert Gordo, Jon Almazan, Jerome Revaud +1
We propose a novel approach for instance-level image retrieval. It produces a global and compact fixed-length representation for each image by aggregating many region-wise descript…
What is the right way to represent document images?
Gabriela Csurka, Diane Larlus, Albert Gordo +1
In this article we study the problem of document image representation based on visual features. We propose a comprehensive experimental study that compares three types of visual do…