Semantic segmentation and colorization of grayscale aerial imagery with W‐Net models
Author:
Affiliation:
1. Instituto Superior Técnico Universidade de Lisboa Lisbon Portugal
2. INESC‐ID Lisbon Portugal
3. School of Technology Instituto Politécnico de Setúbal Setúbal Portugal
Funder
Fundação para a Ciência e a Tecnologia
Publisher
Wiley
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12622
Reference61 articles.
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2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
3. Attention augmented convolutional networks;Bello I.;arXiv,2019
4. Symmetrical dense‐shortcut deep fully convolutional networks for semantic segmentation of very‐high‐resolution remote sensing images;Chen G.;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018
5. W‐net: Bridged U‐net for 2D medical image segmentation;Chen W.;arXiv,2018
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