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OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning

OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning. a chicken and egg problem…. e.g. Caltech101, LabelMe, LHI. …among users, researchers, and data. Images. Framework. Dataset. Category model. Classification. Keyword: accordion. Li, Wang & Fei-Fei, CVPR 2007.

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OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning

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  1. OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning

  2. a chicken and egg problem…

  3. e.g. Caltech101, LabelMe, LHI …among users, researchers, and data Images

  4. Framework Dataset Category model Classification Keyword: accordion Li, Wang & Fei-Fei, CVPR 2007

  5. Framework Dataset Category model Classification Keyword: accordion Li, Wang & Fei-Fei, CVPR 2007

  6. Image representation Kadir&Brady interest point detector Codewords representation Compute SIFT descriptor [Lowe’99]

  7. Nonparametric topic model-Hierarchical Dirichlet Process (HDP) Each image Each patch N M Teh, et al. 2004; Sudderth et al. CVPR 2006; Wang, Zhang & Fei-Fei, CVPR 2006

  8. Nonparametric topic model-Hierarchical Dirichlet Process (HDP) N M Teh, et al. 2004; Sudderth et al. CVPR 2006; Wang, Zhang & Fei-Fei, CVPR 2006

  9. Classification Category likelihood for I: Likelihood ratio for decision: Li, Wang & Fei-Fei, CVPR 2007

  10. Annotation Li, Wang & Fei-Fei, CVPR 2007

  11. Pitfall #1: model drift Object Model Object Model … Li, Wang & Fei-Fei, CVPR 2007

  12. Pitfall #2: model diversity Object Model … Good Images Bad Images Li, Wang & Fei-Fei, CVPR 2007

  13. The “cache set” Li, Wang & Fei-Fei, CVPR 2007

  14. Incremental learning Category Model Enlarged dataset Cache classification Raw image dataset

  15. Result Li, Wang & Fei-Fei, CVPR 2007

  16. Li, Wang & Fei-Fei, CVPR 2007

  17. OPTIMOL also learns good models Li, Wang & Fei-Fei, CVPR 2007

  18. Team OPTIMOL (UIUC-Princeton): 1st Place in the Software League

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