Exquisitor: Interactive Learning at Large

18 Apr 2019Björn Þór JónssonOmar Shahbaz KhanHanna RagnarsdóttirÞórhildur ÞorleiksdóttirJan ZahálkaStevan RudinacGylfi Þór GuðmundssonLaurent AmsalegMarcel Worring

Increasing scale is a dominant trend in today's multimedia collections, which especially impacts interactive applications. To facilitate interactive exploration of large multimedia collections, new approaches are needed that are capable of learning on the fly new analytic categories based on the visual and textual content... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


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.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet