Semi-supervised Learning for Large Scale Image Cosegmentation

This paper introduces to use semi-supervised learning for large scale image co segmentation. Different from traditional unsupervised co segmentation that does not use any segmentation ground truth, semi-supervised co segmentation exploits the similarity from both the very limited training image fore...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	2013 IEEE International Conference on Computer Vision s. 393 - 400
Hlavní autori:	Wang, Zhengxiang, Liu, Rujie
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2013
Predmet:	Binary quadratic programming problem Computer vision Energy conservation Energy management Energy minimization function Ground truth Histograms Image cosegmentation Image segmentation Iterative algorithms Mathematical analysis Mathematical models Minimization Quadratic programming Segmentation Segments Semi-supervised learning Semisupervised learning Training Training data Vectors
ISSN:	1550-5499
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!