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Found 5 papers, 1 papers with code
Conditional computation in neural networks: principles and research trends
This article summarizes principles and ideas from the emerging area of applying \textit{conditional computation} methods to the design of neural networks.
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
This approach is the first to use geographical metadata for UDA in semantic segmentation.
Inferring 3D change detection from bitemporal optical images
Our work goes one step further, proposing two novel networks, able to solve simultaneously the 2D and 3D CD tasks, and the 3DCD dataset, a novel and freely available dataset precisely designed for this multitask.
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
In the field of Earth Observation (EO), Continual Learning (CL) algorithms have been proposed to deal with large datasets by decomposing them into several subsets and processing them incrementally.
POSE-ID-on—A Novel Framework for Artwork Pose Clustering
In this work, we focus our attention on the similarity among works of art based on human poses and the actions they represent, moving from the concept of Pathosformel in Aby Warburg.
