Search Results for author:
Found 8 papers, 4 papers with code
Humans disagree with the IoU for measuring object detector localization error
Our work is the first to evaluate IoU with humans and makes it clear that relying on IoU scores alone to evaluate localization errors might not be sufficient.
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces
We apply this notion to a re-ranking of topic-relevant recommended lists, to form the basis of a novel viewpoint diversification method.
A Survey of Crowdsourcing in Medical Image Analysis
Despite the growing popularity of this approach, there has not yet been a comprehensive literature review to provide guidance to researchers considering using crowdsourcing methodologies in their own medical imaging analysis.
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement
However, in many domains, there is ambiguity in the data, as well as a multitude of perspectives of the information examples.
Human-Computer Interaction Social and Information Networks
Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation
This paper describes a crowdsourcing experiment on the annotation of plot-like structures in English news articles.
Temporal Information Annotation: Crowd vs. Experts
This paper describes two sets of crowdsourcing experiments on temporal information annotation conducted on two languages, i. e., English and Italian.
Crowdsourcing Salient Information from News and Tweets
On the other hand, machines need to understand the information that is published in online data streams and generate concise and meaningful overviews.
