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» Adapting Visual Category Models to New Domains
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ECCV
2010
Springer
13 years 6 months ago
Adapting Visual Category Models to New Domains
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darr...
CVPR
2011
IEEE
13 years 10 days ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
AINA
2009
IEEE
13 years 10 months ago
DAVO: A Domain-Adaptable, Visual BPEL4WS Orchestrator
The Business Process Execution Language for Web Services (BPEL4WS) is the de facto standard for the composition of web services into complex, valued-added workflows in both indus...
Tim Dörnemann, Markus Mathes, Roland Schwarzk...
CVPR
2008
IEEE
14 years 7 months ago
Dynamic visual category learning
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
Tom Yeh, Trevor Darrell