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» Attention can improve a simple model for object recognition
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IVC
2008
100views more  IVC 2008»
13 years 4 months ago
Attention can improve a simple model for object recognition
Object recognition is one of the most important tasks of the visual cortex. Even though it has been closely studied in the field of computer vision and neuroscience, the underlyin...
Edgar Bermudez Contreras, Hilary Buxton, Emmet Spi...
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
14 years 11 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
MIRRORBOT
2005
Springer
144views Robotics» more  MIRRORBOT 2005»
13 years 10 months ago
Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System
We have implemented a neurobiologically plausible system on a robot that integrates visual attention, object recognition, language and action processing using a coherent cortex-lik...
Rebecca Fay, Ulrich Kaufmann, Andreas Knoblauch, H...
ICANN
2009
Springer
13 years 11 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
NN
2006
Springer
218views Neural Networks» more  NN 2006»
13 years 4 months ago
Modeling attention to salient proto-objects
Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objec...
Dirk Walther, Christof Koch