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Precision-recall-classification evaluation framework: Application to depth estimation on single images

Author
Palou, G.; Salembier, P.
Type of activity
Presentation of work at congresses
Name of edition
13th European Conference on Computer Vision
Date of publication
2014
Presentation's date
2014-09-06
Book of congress proceedings
Computer Vision, ECCV 2014: 13th European Conference: Zurich, Switzerland: September 6-12, 2014: proceedings, part I
First page
648
Last page
662
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-319-10590-1_42 Open in new window
Repository
http://hdl.handle.net/2117/24577 Open in new window
URL
http://link.springer.com/chapter/10.1007%2F978-3-319-10590-1_42 Open in new window
Abstract
Many computer vision applications involve algorithms that can be decomposed in two main steps. In a first step, events or objects are detected and, in a second step, detections are assigned to classes. Examples of such Many computer vision applications involve algorithms that can be decomposed in two main steps. In a first step, events or objects are detected and, in a second step, detections are assigned to classes. Examples of such "detection plus classification" problems can be found in human...
Citation
Palou, G.; Salembier, P. Precision-recall-classification evaluation framework: Application to depth estimation on single images. A: European Conference on Computer Vision. "Computer Vision, ECCV 2014: 13th European Conference: Zurich, Switzerland: September 6-12, 2014: proceedings, part I". Zurich: Springer, 2014, p. 648-662.
Keywords
Classification, Depth ordering, Detection, Precision-recall
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants