1 citations · 2 across the 5 of their papers we have counts for
5 papers
FuSS: Fusing Superpixels for Improved Segmentation Consistency
Ian Nunes, Matheus B. Pereira, Hugo Oliveira +2
In this work, we propose two different approaches to improve the semantic consistency of Open Set Semantic Segmentation. First, we propose a method called OpenGMM that extends the…
Facing the Void: Overcoming Missing Data in Multi-View Imagery
Gabriel Machado, Keiller Nogueira, Matheus Barros Pereira +1
In some scenarios, a single input image may not be enough to allow the object classification. In those cases, it is crucial to explore the complementary information extracted from…
Conditional Reconstruction for Open-set Semantic Segmentation
Ian Nunes, Matheus B. Pereira, Hugo Oliveira +2
Open set segmentation is a relatively new and unexploredtask, with just a handful of methods proposed to model suchtasks.We propose a novel method called CoReSeg thattackles the is…
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
Matheus Barros Pereira, Jefersson Alex dos Santos
Labeling semantic segmentation datasets is a costly and laborious process if compared with tasks like image classification and object detection. This is especially true for remote…
An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation
Matheus Barros Pereira, Jefersson Alex dos Santos
High-resolution images for remote sensing applications are often not affordable or accessible, especially when in need of a wide temporal span of recordings. Given the easy access…