A sparse object category model for efficient learning and exhaustive recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semi-supervised manner: the model is learnt from example images containing category instances, without requiring segmentation from background clutter. The model is a sparse repr...
| Asıl Yazarlar: | , , |
|---|---|
| Materyal Türü: | Conference item |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
IEEE
2005
|