In image retrieval, deep local features learned in a data-driven manner have been demonstrated effective to improve retrieval performance. To realize efficient on large database, some approaches quantize with codebook and match images aggregated kernel. However, the complexity of these is non-trivial memory footprint, which limits their capability jointly perform feature learning aggregation. g...