A generative model for multi class object recognition and detection

Date

2006-01-01

Author

Ulusoy, İlkay

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In this study, a generative type probabilistic model is proposed for object recognition. This model is trained by weakly labelled images and performs classification and detection at the same time. When test on highly challenging data sets, the model performs good for both tasks (classification and detection).

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URI

https://hdl.handle.net/11511/52573

Journal

ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS

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Department of Electrical and Electronics Engineering, Article

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Citation Formats

İ. Ulusoy, “A generative model for multi class object recognition and detection,” ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS, pp. 32–40, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52573.