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» Attention can improve a simple model for object recognition
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BMCV
2000
Springer
15 years 1 months ago
Towards a Computational Model for Object Recognition in IT Cortex
First IEEE International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000). There is considerable evidence that object recognition in primates is based o...
David G. Lowe
CVPR
2007
IEEE
15 years 11 months ago
Virtual Training for Multi-View Object Class Recognition
Our goal is to circumvent one of the roadblocks to using existing approaches for single-view recognition for achieving multi-view recognition, namely, the need for sufficient trai...
Han-Pang Chiu, Leslie Pack Kaelbling, Tomás...
SIPS
2008
IEEE
15 years 4 months ago
Bio-inspired unified model of visual segmentation system for CAPTCHA character recognition
In this paper, we present a bio-inspired unified model to improve the recognition accuracy of character recognition problems for CAPTCHA (Completely Automated Public Turing Test t...
Chi-Wei Lin, Yu-Han Chen, Liang-Gee Chen
CRV
2006
IEEE
187views Robotics» more  CRV 2006»
15 years 1 months ago
Confidence Based updation of Motion Conspicuity in Dynamic Scenes
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerj...
CVPR
2007
IEEE
15 years 11 months ago
A Topic-Motion Model for Unsupervised Video Object Discovery
The bag-of-words representation has attracted a lot of attention recently in the field of object recognition. Based on the bag-of-words representation, topic models such as Probab...
David Liu, Tsuhan Chen