d424: Satellite imagery deep learning via image segmentation

Satellite imagery deep learning via image segmentation: https://deepsense.io/deep-learning-for-satellite-imagery-via-image-segmentation

In the recent Kaggle competition Dstl Satellite Imagery Feature Detection deepsense.io team won 4th place among 419 teams. 

Satellite imagery deep learning Suggested readings

For those of you interested in additional reading, we recommend the following papers on image segmentation which inspired our work and success:

1. Fully Convolutional Networks for Semantic Segmentation
2. U-Net: Convolutional Networks for Biomedical Image Segmentation
3. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
4. Analyzing The Papers Behind Facebook’s Computer Vision Approach
5. Image-to-Image Translation with Conditional Adversarial Nets
6. ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation