2 citations · 2 across the 4 of their papers we have counts for
4 papers
Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis
Ilya Novikov, Svetlana Illarionova, Ruslan Dzharkinov +6
Effective flood monitoring is critical for minimizing the impacts of flood disasters on populations and infrastructure. Yet reliable remote sensing across extensive and environment…
GCond: Gradient Conflict Resolution via Accumulation-based Stabilization for Large-Scale Multi-Task Learning
Evgeny Alves Limarenko, Anastasiia Studenikina, Svetlana Illarionova +1
In multi-task learning (MTL), gradient conflict poses a significant challenge. Effective methods for addressing this problem, including PCGrad, CAGrad, and GradNorm, in their origi…
Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin +2
The near-infrared (NIR) spectral range (from 780 to 2500 nm) of the multispectral remote sensing imagery provides vital information for the landcover classification, especially con…
Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation
Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin +3
Today deep convolutional neural networks (CNNs) push the limits for most computer vision problems, define trends, and set state-of-the-art results. In remote sensing tasks such as…