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TernausNetV2: Fully Convolutional Network for Instance Segmentation

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I wonder regarding geospatial semantic segmentation is there any tricks/post processing steps to make objects like house have sharp box like shape(i.e. naive solution give smooth shapes without sharp corners).

Hello, Any points to how did you pre-process the labels to get a prediction for the buildings and a prediction for the touching boundaries?

Just wonder anyone able to train on cityscapes? and how about the result?

When I execute “prediction = F.sigmoid(model(input_img)).data[0].cpu().numpy()” is reporting error “runtime error: CUDNN_STATUS_MAPPING_ERROR”,what should I do ? thank you very much!