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» Attention can improve a simple model for object recognition
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CAIP
2009
Springer
252views Image Analysis» more  CAIP 2009»
15 years 6 months ago
Incorporating Shape Features in an Appearance-Based Object Detection System
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
Gurman Gill, Martin Levine
3DPVT
2006
IEEE
190views Visualization» more  3DPVT 2006»
15 years 5 months ago
3D City Modeling Using Cognitive Loops
3D city modeling using computer vision is very challenging. A typical city contains objects which are a nightmare for some vision algorithms, while other algorithms have been desi...
Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc J...
CSL
2002
Springer
14 years 11 months ago
Weighted finite-state transducers in speech recognition
We survey the use of weighted finite-state transducers (WFSTs) in speech recognition. We show that WFSTs provide a common and natural representation for HMM models, context-depend...
Mehryar Mohri, Fernando Pereira, Michael Riley
ECCV
2010
Springer
15 years 4 months ago
Semantic Label Sharing for Learning with Many Categories
In an object recognition scenario with tens of thousands of categories, even a small number of labels per category leads to a very large number of total labels required. We propose...
PAMI
2012
13 years 2 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...