1 citations · 1 across the 3 of their papers we have counts for
3 papers
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
Luís Almeida, Inês Dutra, Francesco Renna
Semantic segmentation is a fundamental computer vision task with a vast number of applications. State of the art methods increasingly rely on deep learning models, known to incorre…
Data and Knowledge for Overtaking Scenarios in Autonomous Driving
Mariana Pinto, Inês Dutra, Joaquim Fonseca
Autonomous driving has become one of the most popular research topics within Artificial Intelligence. An autonomous vehicle is understood as a system that combines perception, deci…
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST)
Christine R. Kirkpatrick, Kevin L. Coakley, Julie Christopher +1
Six years after the seminal paper on FAIR was published, researchers still struggle to understand how to implement FAIR. For many researchers FAIR promises long-term benefits for n…