Domain Adaptation for Structured Regression

Discriminative regression models have proved effective for many vision applications (here we focus on 3D full-body and head pose estimation from image and depth data). However, dataset bias is common and is able to significantly degrade the performance of a trained model on target test sets. As we s...

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Vydáno v:	International journal of computer vision Ročník 109; číslo 1-2; s. 126 - 145
Hlavní autoři:	Yamada, Makoto, Sigal, Leonid, Chang, Yi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Boston Springer US 01.08.2014 Springer Springer Nature B.V
Témata:	3-D graphics Adaptation Analysis Artificial Intelligence Bias Computer Imaging Computer Science Datasets Estimating Image Processing and Computer Vision Image processing systems Information sharing Linear algebra Mathematical models Pattern Recognition Pattern Recognition and Graphics Regression Regression analysis Studies Three dimensional Trains Vision Covariate shift adaptation 3D pose estimation Semi-supervised domain adaptation
ISSN:	0920-5691, 1573-1405
On-line přístup:	Získat plný text
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