Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval

25 Mar 2020Shuhei YokooKohei OzakiEdgar Simo-SerraSatoshi Iizuka

We propose an efficient pipeline for large-scale landmark image retrieval that addresses the diversity of the dataset through two-stage discriminative re-ranking. Our approach is based on embedding the images in a feature-space using a convolutional neural network trained with a cosine softmax loss... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.