Extractive Tags Summarization

1 papers with code • 0 benchmarks • 0 datasets

The goal of Extractive Tags Summarization (ETS) task is to shorten the list of tags corresponding to a digital image while keeping the representativity; i.e., is to extract important tags from the context lying in an image and its corresponding tags.

Most implemented papers

MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem

pixta-dev/labteam 9 Nov 2020

In this work, we study a new image annotation task named Extractive Tags Summarization (ETS).