ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
We propose a framework for large scale learning and annotation of structured models. The system interleaves interactive labeling (where the current model is used to semiautomate t...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper addresses the problem of category-level image classification. The underlying image model is a graph whose nodes correspond to a dense set of regions, and edges reflec...
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