Browsing Institute of New Imaging Technologies (INIT) by Keyword "training"

Now showing items 1-6 of 6

    • 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   Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting 

      Mendoza-Silva, Germán Martín; Costa, Ana Cristina; Torres-Sospedra, Joaquín; Painho, Marco; Huerta, Joaquin Institute of Electrical and Electronics Engineers (2021-04-19)
      Data enrichment through interpolation or regression is a common approach to deal with sample collection for Indoor Localization with WiFi fingerprinting. This paper provides guidelines on where to collect WiFi samples, and ...

    • openAccess   Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval 

      kang, jian; Fernandez-Beltran, Ruben; Danfeng, Hong; Chanussot, Jocelyn; Plaza, Antonio IEEE (2020-08-21)
      Due to the proliferation of large-scale remote-sensing (RS) archives with multiple annotations, multilabel RS scene classification and retrieval are becoming increasingly popular. Although some recent deep learning-based ...

    • 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 ...

    • openAccess   Revisiting the Dissimilarity Representation in the Context of Regression 

      García, Vicente; Sánchez Garreta, Josep Salvador; Martínez-Peláez, Rafael; Méndez-González, Luis Carlos IEEE (2021-12-02)
      In machine learning, a natural way to represent an instance is by using a feature vector. However, several studies have shown that this representation may not accurately characterize an object. For classification problems, ...

    • openAccess   Rotation-Invariant Deep Embedding for Remote Sensing Images 

      kang, jian; Fernandez-Beltran, Ruben; Wang, Zhirui; Sun, Xian; Ni, Jingen; Plaza, Antonio Institute of Electrical and Electronics Engineers (2021-06-28)
      Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of ...