Synthetically trained multi-view object class and viewpoint detection for advanced image retrieval
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11, April 18 - 20, 2011, Trento, Italy, S. 3-
- Event
-
Veröffentlichung
- (where)
-
Augsburg
- (who)
-
Universität Augsburg
- (when)
-
2011
- Event
-
Veröffentlichung
- (where)
-
New York, USA
- (who)
-
ACM Press
- (when)
-
2011
- Creator
- DOI
-
10.1145/1991996.1991999
- URN
-
urn:nbn:de:bvb:384-opus4-611121
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:59 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Schels, Johannes
- Liebelt, Jörg
- Schertler, Klaus
- Lienhart, Rainer
- Universität Augsburg
- ACM Press
Time of origin
- 2011
Other Objects (12)
The fertilized forests decision forest library
Deep networks for image retrieval on large-scale databases
Bundle min-hashing for logo recognition
Deriving a discriminative color model for a given object class from weakly labeled training data
Audio brush: a tool for computer-assisted smart audio editing
On the benefit of synthetic data for company logo detection
Towards automatic object annotations from global image labels
Visual question answering with a hybrid convolution recurrent model
Improving small object proposals for company logo detection
Scalable logo recognition in real-world images
A convolutional sequence to sequence model for multimodal dynamics prediction in ski jumps
On the optimal placement of multiple visual sensors
The fertilized forests decision forest library
Deep networks for image retrieval on large-scale databases
Bundle min-hashing for logo recognition
Deriving a discriminative color model for a given object class from weakly labeled training data
Audio brush: a tool for computer-assisted smart audio editing
On the benefit of synthetic data for company logo detection
Towards automatic object annotations from global image labels
Visual question answering with a hybrid convolution recurrent model
Improving small object proposals for company logo detection
Scalable logo recognition in real-world images
A convolutional sequence to sequence model for multimodal dynamics prediction in ski jumps
On the optimal placement of multiple visual sensors
The fertilized forests decision forest library
Deep networks for image retrieval on large-scale databases
Bundle min-hashing for logo recognition
Deriving a discriminative color model for a given object class from weakly labeled training data
Audio brush: a tool for computer-assisted smart audio editing
On the benefit of synthetic data for company logo detection
Towards automatic object annotations from global image labels
Visual question answering with a hybrid convolution recurrent model
Improving small object proposals for company logo detection
Scalable logo recognition in real-world images
A convolutional sequence to sequence model for multimodal dynamics prediction in ski jumps