Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Nunes, Urbano"'
Indoor scenes are usually characterized by scattered objects and their relationships, which turns the indoor scene classification task into a challenging computer vision task. Despite the significant performance boost in classification tasks achieved
Externí odkaz:
http://arxiv.org/abs/2404.07739
Autor:
Cunha, Nuno, Barros, Tiago, Reis, Mário, Marta, Tiago, Premebida, Cristiano, Nunes, Urbano J.
Multispectral imagery is frequently incorporated into agricultural tasks, providing valuable support for applications such as image segmentation, crop monitoring, field robotics, and yield estimation. From an image segmentation perspective, multispec
Externí odkaz:
http://arxiv.org/abs/2308.00159
Autonomous driving systems often require reliable loop closure detection to guarantee reduced localization drift. Recently, 3D LiDAR-based localization methods have used retrieval-based place recognition to find revisited places efficiently. However,
Externí odkaz:
http://arxiv.org/abs/2305.18013
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. This requires a thorough look not only at the accuracy of such systems, b
Externí odkaz:
http://arxiv.org/abs/2304.05104
Publikováno v:
Pattern Recognition Letters, vol 179, pp. 24-30, 2024
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-based semantic features (SSFs). These features represent, per segment
Externí odkaz:
http://arxiv.org/abs/2302.06432
Autonomous Vehicles (AV) are becoming more capable of navigating in complex environments with dynamic and changing conditions. A key component that enables these intelligent vehicles to overcome such conditions and become more autonomous is the sophi
Externí odkaz:
http://arxiv.org/abs/2106.10458
LiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications. With the success of DL approaches in learning useful information from 3D LiDARs, place recognition has also b
Externí odkaz:
http://arxiv.org/abs/2106.09637
Publikováno v:
In Pattern Recognition Letters March 2024 179:24-30
Publikováno v:
2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Motor imagery (MI)-based brain-computer interface (BCI) systems are being increasingly employed to provide alternative means of communication and control for people suffering from neuro-motor impairments, with a special effort to bring these systems
Externí odkaz:
http://arxiv.org/abs/2105.07917
Publikováno v:
In Neurocomputing 22 January 2022 470:236-246