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Chair of Computer Vision & Artificial Intelligence

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Learning by Association - A versatile semi-supervised training method for neural networks (bibtex)
Learning by Association - A versatile semi-supervised training method for neural networks (bibtex)
by P. Haeusser, A. Mordvintsev and D. Cremers
Reference:
Learning by Association - A versatile semi-supervised training method for neural networks (P. Haeusser, A. Mordvintsev and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([code] [PDF from CVF])
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{haeusser-cvpr17,
 author = {P. Haeusser and A. Mordvintsev and D. Cremers},
 title = {Learning by Association - A versatile semi-supervised training method for neural networks},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2017},
 keywords = {semi-supervised, deep learning, neural networks, association, associative_learning},
 titleurl = {haeusser_cvpr_17.pdf},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group