Multi-View Datasets
AiRound AiRound is composed of 11,753 images distributed among 11 classes, including: airport, bridge, church, forest, lake, river, skyscraper, stadium, statue, tower, and urban park.… Read More »Multi-View Datasets
Source codes
Fully Convolutional Open Set Segmentation
In semantic segmentation knowing about all existing classes is essential to yield effective results with the majority of existing approaches. However, these methods trained in… Read More »Fully Convolutional Open Set Segmentation
Deep Semantic Segmentation of Mammographic Images
MIAS and INbreast are mammographic datasets for the detection and diagnosis of breast cancer. With the dawn of digital mammograms, one important preprocessing step for the… Read More »Deep Semantic Segmentation of Mammographic Images
Contextual descriptors for superpixel-based segmentation
Land-cover maps are one of the main sources of information for studies that support the creation of public policies in areas like urban planning and… Read More »Contextual descriptors for superpixel-based segmentation
Natural disaster monitoring
Natural disaster monitoring is a fundamental task to create prevention strategies, as well as to help authorities to act in the control of damages, coordinate rescues, and help victims.
Among all natural disasters, flooding is possibly the most extensive and devastating one being considered as the world’s most costly type of natural hazard in terms of both economic losses and human causalities
Multiscale classification of remote sensing images
A huge effort has been applied in image classification to create high-quality thematic maps and to establish precise inventories about land cover use. The peculiarities… Read More »Multiscale classification of remote sensing images