333 citations · 1.1k across the 20 of their papers we have counts for
3 papers · 1 filter
Fine-grained Categorization -- Short Summary of our Entry for the ImageNet Challenge 2012
Christoph Göring, Alexander Freytag, Erik Rodner +1
In this paper, we tackle the problem of visual categorization of dog breeds, which is a surprisingly challenging task due to simultaneously present low interclass distances and hig…
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations
Erik Rodner, Judy Hoffman, Jeff Donahue +2
Images seen during test time are often not from the same distribution as images used for learning. This problem, known as domain shift, occurs when training classifiers from object…
Efficient Learning of Domain-invariant Image Representations
Judy Hoffman, Erik Rodner, Jeff Donahue +2
We present an algorithm that learns representations which explicitly compensate for domain mismatch and which can be efficiently realized as linear classifiers. Specifically, we fo…