Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval

@inproceedings{Malisiewicz2012ExemplarSVMsFV,
  title={Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval},
  author={Tomasz Malisiewicz and Abhinav Shrivastava and Abhinav Gupta and Alexei A. Efros},
  booktitle={ICML},
  year={2012}
}
Today’s state-of-the-art visual object detection systems are based on three key components: 1) sophisticated features (to encode various visual invariances), 2) a powerful classifier (to build a discriminative object class model), and 3) lots of data (to use in largescale hard-negative mining). While conventional wisdom tends to attribute the success of such methods to the ability of the classifier to generalize across the positive class instances, here we report on empirical findings… CONTINUE READING

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