Learning to Localize Objects with Structured Output Regression

@inproceedings{Blaschko2008LearningTL,
  title={Learning to Localize Objects with Structured Output Regression},
  author={Matthew B. Blaschko and Christoph H. Lampert},
  booktitle={ECCV},
  year={2008}
}
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to the localization task. First a binary classifier is trained using a sample of positive and negative examples, and this classifier is subsequently applied to multiple regions within test images. We propose instead to treat object localization in a principled way by posing it as a problem of predicting structured data… Expand
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