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» Attention can improve a simple model for object recognition
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NLUCS
2008
13 years 7 months ago
The Role of Attention in Understanding Spatial Expressions under the Distractor Condition
Abstract. To develop a computational model of understanding spatial expressions, various factors should be taken into account. We have been exploring the relations between the good...
Tatsumi Kobayashi, Asuka Terai, Takenobu Tokunaga
ICRA
2010
IEEE
226views Robotics» more  ICRA 2010»
13 years 4 months ago
Indoor scene recognition through object detection
Abstract— Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in p...
Pablo Espinace, Thomas Kollar, Alvaro Soto, Nichol...
CVPR
2007
IEEE
14 years 7 months ago
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...
Marius Leordeanu, Martial Hebert, Rahul Sukthankar
PAMI
2010
192views more  PAMI 2010»
13 years 4 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
ICRA
2009
IEEE
174views Robotics» more  ICRA 2009»
14 years 6 days ago
Environment adapted active multi-focal vision system for object detection
— A biologically inspired foveated attention system in an object detection scenario is proposed. Thereby, a highperformance active multi-focal camera system imitates visual behav...
Tingting Xu, Hao Wu, Tianguang Zhang, Kolja Kü...