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» Unsupervised extraction of audio-visual objects
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CVPR
2004
IEEE
14 years 9 months ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...
IGARSS
2010
13 years 5 months ago
Preliminary result of polarization property analysis using fully polarimetric GB-SAR images
Korea Institute of Geoscience and Mineral Resources (KIGAM) and Kangwon National University (KNU) ground-based synthetic aperture radar (GB-SAR) team has been developed a fully po...
Moon-Kyung Kang, Kwang-Eun Kim, Hoonyol Lee, Seong...
WSOM
2009
Springer
14 years 2 months ago
Bag-of-Features Codebook Generation by Self-Organisation
Bag of features is a well established technique for the visual categorisation of objects, categories of objects and textures. One of the most important part of this technique is co...
Teemu Kinnunen, Joni-Kristian Kämärä...
EPIA
2009
Springer
13 years 11 months ago
Semantic Image Search and Subset Selection for Classifier Training in Object Recognition
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
Rui Pereira, Luís Seabra Lopes, Augusto Sil...
ICCV
2011
IEEE
12 years 7 months ago
Discovering Object Instances from Scenes of Daily Living
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
Hongwen Kang, Martial Hebert, Takeo Kanade