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arXiv · 1808.08272

Probabilistic Model of Object Detection Based on Convolutional Neural Network

Fang-Qi Li·Xu-Die Ren·Hao-Nan Guo
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Abstract

The combination of a CNN detector and a search framework forms the basis for local object/pattern detection. To handle the waste of regional information and the defective compromise between efficiency and accuracy, this paper proposes a probabilistic model with a powerful search framework. By mapping an image into a probabilistic distribution of objects, this new model gives more informative outputs with less computation. The setting and analytic traits are elaborated in this paper, followed by a series of experiments carried out on FDDB, which show that the proposed model is sound, efficient and analytic.

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Fang-Qi Li, Xu-Die Ren, Hao-Nan Guo. 2018-08-16. Probabilistic Model of Object Detection Based on Convolutional Neural Network. https://arxiv.org/abs/1808.08272

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