AMC: Attention guided Multi-modal Correlation Learning for Image Search

CVPR 2017 Kan ChenTrung BuiFang ChenZhaowen WangRam Nevatia

Given a user's query, traditional image search systems rank images according to its relevance to a single modality (e.g., image content or surrounding text). Nowadays, an increasing number of images on the Internet are available with associated meta data in rich modalities (e.g., titles, keywords, tags, etc... (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.