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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
e.g. Caltech101, LabelMe, LHI …among users, researchers, and data Images
Framework Dataset Category model Classification Keyword: accordion Li, Wang & Fei-Fei, CVPR 2007
Framework Dataset Category model Classification Keyword: accordion Li, Wang & Fei-Fei, CVPR 2007
… Image representation Kadir&Brady interest point detector Codewords representation Compute SIFT descriptor [Lowe’99]
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
Nonparametric topic model-Hierarchical Dirichlet Process (HDP) N M Teh, et al. 2004; Sudderth et al. CVPR 2006; Wang, Zhang & Fei-Fei, CVPR 2006
Classification Category likelihood for I: Likelihood ratio for decision: Li, Wang & Fei-Fei, CVPR 2007
Annotation Li, Wang & Fei-Fei, CVPR 2007
… Pitfall #1: model drift Object Model Object Model … Li, Wang & Fei-Fei, CVPR 2007
Pitfall #2: model diversity Object Model … Good Images Bad Images Li, Wang & Fei-Fei, CVPR 2007
The “cache set” Li, Wang & Fei-Fei, CVPR 2007
Incremental learning Category Model Enlarged dataset Cache classification Raw image dataset
Result Li, Wang & Fei-Fei, CVPR 2007
OPTIMOL also learns good models Li, Wang & Fei-Fei, CVPR 2007
Team OPTIMOL (UIUC-Princeton): 1st Place in the Software League