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Open House on Multi-Task and Complex Outputs Learning 2006 - London

Learning shared representations for object recognition

author:Antonio Torralba, Center for Future Civic Media
published: Feb. 25, 2007, recorded: July 2006, views: 761

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Slides

Slides
0:01	Learning shared representations for object recognition
0:19	Collaborators
0:37	Standard approach for object detection
1:53	Face detection
2:17	The single class age
2:35	Multiclass object detection
3:10	Object detection and the “Head in the coffee beans problem”
3:14	“Head in the coffee beans problem”
3:33	“Head in the coffee beans problem”
4:27	Symptoms of local detectors
5:27	Failure modes for object presence detection
6:13	The system does not care about the scene, but we do…
6:38	Some symptoms of one-vs-all multiclass approaches
7:49	Some symptoms of one-vs-all multiclass approaches
8:19	Some symptoms of one-vs-all multiclass approaches
8:47	Green pastures for research in multiclass object detection

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Reviews and comments:

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1 Gustavo Manzanilla, July 1, 2008 at 3:24 p.m.:

Interesting advanced in the recognition of images, less pixels, more cheap. Keep going, and it will be better.

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