Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation

M Guillaumin, T Mensink, J Verbeek… - 2009 IEEE 12th …, 2009 - ieeexplore.ieee.org
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …
被引用次数：880 相关文章

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

M Guillaumin, T Mensink… - ICCV 2009-12th …, 2009 - hal.univ-grenoble-alpes.fr
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

M Guillaumin, T Mensink, J Verbeek… - 2009 IEEE 12th …, 2009 - computer.org
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …
[PDF] inrialpes.fr

[PDF][PDF] TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation

M Guillaumin, T Mensink, J Verbeek, C Schmid - lear.inrialpes.fr
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …
[PDF] archive.org

[PDF][PDF] TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation

M Guillaumin, T Mensink, J Verbeek, C Schmid - scholar.archive.org
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Page 1 TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation …
[PDF] psu.edu

[PDF][PDF] TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

M Guillaumin, T Mensink, J Verbeek, C Schmid - Citeseer
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

M Guillaumin, T Mensink, J Verbeek… - ICCV 2009-12th …, 2009 - inria.hal.science
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …
[PDF] mensink.nu

[PDF][PDF] TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation

M Guillaumin, T Mensink, J Verbeek, C Schmid - mensink.nu
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

M Guillaumin, T Mensink, J Verbeek… - ICCV 2009-12th …, 2009 - hal.univ-smb.fr
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation

M Guillaumin, T Mensink, J Verbeek… - ICCV 2009-12th …, 2009 - hal.science
Image auto-annotation is an important open problem in computer vision. For this task we
propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images …