The purpose of this project is to calculate the uncertainty maps of the model in inference to find the anomalies ... The model architecture uses a variation of UNet where the encoder is EfficientNet ...

The UNet architecture is particularly well-suited for biomedical image segmentation due to its symmetric structure, which consists of an encoder (downsampling path) and a decoder (upsampling path).

We combine it with a modified hyper dense encoder. Therefore, the proposed model is a UNet with a hyper dense encoder and a recurrent dense siamese decoder (HD-RDS-UNet ... resulting in significantly ...

To address the above-mentioned problems, a channel-spatial attention-based encoder–decoder network (CSA-UNet) is proposed for rural blue-roofed building extraction tasks from RS images. To extract the ...