Jiankun-chen
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Jiankun-chen
Supervised-SNN-with-GD
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A supervised learning algorithm of SNN is proposed by using spike sequences with complex spatio-temporal information. We explore an error back-propagation method of SNN based on gradient descent. The...
CVCMFFNet-master
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We present a novel complex-valued convolutional and multi-feature fusion network (CVCMFF Net) specifically for building semantic segmentation of InSAR images. It can effectively segment the layover, s...
building-semantic-segmentation-of-InSAR-images
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We apply some state-of-the-art semantic segmentation methods to InSAR image building segmentation, directly. They are Unet, SegNet, RefineNet, PSPNet, and Deeplab v3+. These segmentation patterns are...