Computer Vision

2014 Edition
| Editors: Katsushi Ikeuchi

Weakly Supervised Learning

  • Lorenzo Torresani
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-31439-6_308

Synonyms

Definition

Weakly supervised learning is a machine learning framework where the model is trained using examples that are only partially annotated or labeled.

Background

Most modern computer vision system involves models learned from human-labeled image examples. For instance, an object detector is typically trained on a large collection of images manually annotated with masks or bounding boxes denoting the location of the object of interest in each photo. The reliance on time-consuming human labeling poses a significant limitation to the practical application of these methods. Weakly supervised learning is aimed at reducing the amount of human intervention needed to train the models by making use of examples that are only partially labeled.

Theory

There are two main forms of weakly supervised learning, differing with respect to the type of partial labels used to annotate the examples:
  1. 1.

    Semisupervised learninginvolves training a model using a...

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Lorenzo Torresani
    • 1
  1. 1.Computer Science Department, Dartmouth CollegeHanover, NHUSA