2015
Regularizing Max-Margin Exemplars by Reconstruction and Generative Models
CVPR 2015poster
Part-based models are one of the leading paradigms in visual recognition. In the absence of costly part annotations, associating and aligning different training instances of a part classifier and finding characteristic negatives is challenging and computationally demanding. To avoid this costly mini…