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» Selective Attention Improves Learning
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KI
2005
Springer
13 years 11 months ago
Selecting What Is Important: Training Visual Attention
We present a new, sophisticated algorithm to select suitable training images for our biologically motivated attention system VOCUS. The system detects regions of interest depending...
Simone Frintrop, Gerriet Backer, Erich Rome
CVPR
2007
IEEE
14 years 7 months ago
Spatial selection for attentional visual tracking
Long-duration tracking of general targets is quite challenging for computer vision, because in practice target may undergo large uncertainties in its visual appearance and the unc...
Ming Yang, Junsong Yuan, Ying Wu
ISNN
2010
Springer
13 years 10 months ago
Visual Selection and Attention Shifting Based on FitzHugh-Nagumo Equations
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shif...
Haili Wang, Yuanhua Qiao, Lijuan Duan, Faming Fang...
WAPCV
2004
Springer
13 years 11 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
ICDAR
1999
IEEE
13 years 9 months ago
Preattentive Reading and Selective Attention for Document Image Analysis
PixED (from Pixel to Electronic Document) is aimed at converting document images into structured electronic documents which can be read by a machine for information retrieval. The...
Claudie Faure