Sciweavers

CVPR
2011
IEEE
13 years 6 months 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
ICANN
2010
Springer
14 years 8 days ago
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
Abstract. A common practice to gain invariant features in object recognition models is to aggregate multiple low-level features over a small neighborhood. However, the differences ...
Dominik Scherer, Andreas Müller, Sven Behnke