Probabilistic Model of Object Detection Based on Convolutional Neural Network. (arXiv:1808.08272v1 [cs.CV])

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.

from cs updates on arXiv.org https://ift.tt/2BSnlQo
//