Ara es mostren els items 10-13 de 13

  • Measures and meta-measures for the supervised evaluation of image segmentation 

    Pont Tuset, Jordi; Marqués Acosta, Fernando (IEEE Computer Society Publications, 2013)
    Text en actes de congrés
    Accés obert
    This paper tackles the supervised evaluation of image segmentation algorithms. First, it surveys and structures the measures used to compare the segmentation results with a ground truth database, and proposes a new measure: ...
  • Multi-task Deep Learning models for real-time deployment in embedded systems 

    Martí I Rabadán, Miquel (Universitat Politècnica de Catalunya, 2017-05-23)
    Projecte Final de Màster Oficial
    Accés obert
    Realitzat a/amb:  KTH - School of Electrical Engineering
    Multi-task Learning (MTL) is proposed as a way to speed up Deep Learning models for applications in which multiple tasks need to be solved simultaneously, which is especially useful in embedded, real-time systems such as ...
  • Object recognition in urban hyperspectral images using binary partition tree representation 

    Valero, Silvia; Salembier Clairon, Philippe Jean; Chanussot, Jocelyn (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. The BPT representation defines a search space for constructing a robust object identification ...
  • Region-based face detection, segmentation and tracking. framework definition and application to other objects 

    Vilaplana Besler, Verónica (Universitat Politècnica de Catalunya, 2010-12-17)
    Accés obert
    One of the central problems in computer vision is the automatic recognition of object classes. In particular, the detection of the class of human faces is a problem that generates special interest due to the large number ...