most citedExploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024★ 2 cited

Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification

Ricardo Pereira, Luís Garrote, Tiago Barros +2

Indoor scenes are usually characterized by scattered objects and their relationships, which turns the indoor scene classification task into a challenging computer vision task. Desp…

cs.CV2023

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…