10 citations · 13 across the 3 of their papers we have counts for
3 papers
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…
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case
Sergey Nesteruk, Dmitrii Shadrin, Mariia Pukalchik
Large datasets' availability is catalyzing a rapid expansion of deep learning in general and computer vision in particular. At the same time, in many domains, a sufficient amount o…
Hyper-spectral NIR and MIR data and optimal wavebands for detection of apple tree diseases
Dmitrii Shadrin, Mariia Pukalchik, Anastasia Uryasheva +4
Plant diseases can lead to dramatic losses in yield and quality of food, becoming a problem of high priority for farmers. Apple scab, moniliasis, and powdery mildew are the most si…