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Found 3 papers, 2 papers with code
Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
In this work, we develop a computational approach for an automated comparison of the same region's satellite images before and after the disaster, and classify different levels of damage in buildings.
ImageNet Pretrained CNNs for JPEG Steganalysis
In this paper, we investigate pre-trained computervision deep architectures, such as the EfficientNet, MixNet, and ResNet for steganalysis.
Albumentations: fast and flexible image augmentations
We provide examples of image augmentations for different computer vision tasks and show that Albumentations is faster than other commonly used image augmentation tools on the most of commonly used image transformations.
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