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» Learning Visual Representations using Images with Captions
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CVPR
2006
IEEE
14 years 10 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
ICIP
2010
IEEE
13 years 6 months ago
Saliency detection based on short-term sparse representation
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...
Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei X...
WAPCV
2004
Springer
14 years 2 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
ICCV
2007
IEEE
14 years 10 months ago
People-LDA: Anchoring Topics to People using Face Recognition
Topic models have recently emerged as powerful tools for modeling topical trends in documents. Often the resulting topics are broad and generic, associating large groups of people...
Vidit Jain, Erik G. Learned-Miller, Andrew McCallu...
PRICAI
2010
Springer
13 years 7 months ago
Visual Query Expansion via Incremental Hypernetwork Models of Image and Text
Abstract. Humans can associate vision and language modalities and thus generate mental imagery, i.e. visual images, from linguistic input in an environment of unlimited inflowing i...
Min-Oh Heo, Myunggu Kang, Byoung-Tak Zhang