Graph-RISE: Graph-Regularized Image Semantic Embedding

14 Feb 2019Da-Cheng JuanChun-Ta LuZhen LiFutang PengAleksei TimofeevYi-Ting ChenYaxi GaoTom DuerigAndrew TomkinsSujith Ravi

Learning image representations to capture fine-grained semantics has been a challenging and important task enabling many applications such as image search and clustering. In this paper, we present Graph-Regularized Image Semantic Embedding (Graph-RISE), a large-scale neural graph learning framework that allows us to train embeddings to discriminate an unprecedented O(40M) ultra-fine-grained semantic labels... (read more)

PDF Abstract

Evaluation results from the paper


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