Description

Deep learning architectures have been widely explored in computer vision and have

depicted commendable performance in a variety of applications. A fundamental challenge

in training deep networks is the requirement of large amounts of labeled training

data. While gathering large quantities of unlabeled data is cheap and easy, annotating

Reuse Permissions
  • Downloads
    pdf (4.7 MB)

    Download count: 0

    Details

    Contributors
    Date Created
    2018
    Resource Type
  • Text
  • Collections this item is in
    Note
    • Doctoral Dissertation Electrical Engineering 2018

    Machine-readable links