4 papers · 1 filter
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
Tobias Weyand, Andre Araujo, Bingyi Cao +1
While image retrieval and instance recognition techniques are progressing rapidly, there is a need for challenging datasets to accurately measure their performance -- while posing…
Unifying Deep Local and Global Features for Image Search
Bingyi Cao, Andre Araujo, Jack Sim
Image retrieval is the problem of searching an image database for items that are similar to a query image. To address this task, two main types of image representations have been s…
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Marvin Teichmann, Andre Araujo, Menglong Zhu +1
Retrieving object instances among cluttered scenes efficiently requires compact yet comprehensive regional image representations. Intuitively, object semantics can help build the i…
Recurrent Neural Networks for Person Re-identification Revisited
Jean-Baptiste Boin, Andre Araujo, Bernd Girod
The task of person re-identification has recently received rising attention due to the high performance achieved by new methods based on deep learning. In particular, in the contex…