ListarInstitute of New Imaging Technologies (INIT) por tema "image segmentation"

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    • openAccess   Deep Learning-Based Building Footprint Extraction With Missing Annotations 

      kang, jian; Fernandez-Beltran, Ruben; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-04-21)
      Most state-of-the-art deep learning-based methods for extraction of building footprints are aimed at designing proper convolutional neural network (CNN) architectures or loss functions able to effectively predict building ...

    • openAccess   PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation 

      kang, jian; Wang, Zhirui; Zhu, Ruoxin; Sun, Xian; Fernandez-Beltran, Ruben; Plaza, Antonio IEEE (2021-10-11)
      Building footprint segmentation from high-resolution remote sensing (RS) images plays a vital role in urban planning, disaster response, and population density estimation. Convolutional neural networks (CNNs) have been ...