50 citations · 97 across the 15 of their papers we have counts for
5 papers · 1 filter
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches
Nuno Cunha, Tiago Barros, Mário Reis +3
Multispectral imagery is frequently incorporated into agricultural tasks, providing valuable support for applications such as image segmentation, crop monitoring, field robotics, a…
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition
Tiago Barros, Luís Garrote, Martin Aleksandrov +2
Autonomous driving systems often require reliable loop closure detection to guarantee reduced localization drift. Recently, 3D LiDAR-based localization methods have used retrieval-…
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
Pedro Conde, Tiago Barros, Rui L. Lopes +2
With the rise of Deep Neural Networks, machine learning systems are nowadays ubiquitous in a number of real-world applications, which bears the need for highly reliable models. Thi…
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards
T. Barros, L. Garrote, P. Conde +4
Robust and reliable place recognition and loop closure detection in agricultural environments is still an open problem. In particular, orchards are a difficult case study due to st…
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification
Ricardo Pereira, Tiago Barros, Luis Garrote +2
This work proposes a novel approach that uses a semantic segmentation mask to obtain a 2D spatial layout of the segmentation-categories across the scene, designated by segmentation…