Object Detection through Modified YOLO Neural Network
In the field of object detection, recently, tremendous success is achieved, but still it is a very challenging task to detect and identify objects accurately with fast speed. Human beings can detect and recognize multiple objects in images or videos with ease regardless of the object’s appearance, b...
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| Veröffentlicht in: | Scientific programming 2020, Vol.2020 (2020), p.1-10 |
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| creator | Nazir, Shah Ahmad, Belal Yahya, Muhammad Ma, Yinglong Ahmad, Tanvir Haq, Amin Ul |
| description | In the field of object detection, recently, tremendous success is achieved, but still it is a very challenging task to detect and identify objects accurately with fast speed. Human beings can detect and recognize multiple objects in images or videos with ease regardless of the object’s appearance, but for computers it is challenging to identify and distinguish between things. In this paper, a modified YOLOv1 based neural network is proposed for object detection. The new neural network model has been improved in the following ways. Firstly, modification is made to the loss function of the YOLOv1 network. The improved model replaces the margin style with proportion style. Compared to the old loss function, the new is more flexible and more reasonable in optimizing the network error. Secondly, a spatial pyramid pooling layer is added; thirdly, an inception model with a convolution kernel of 1 ∗ 1 is added, which reduced the number of weight parameters of the layers. Extensive experiments on Pascal VOC datasets 2007/2012 showed that the proposed method achieved better performance. |
| doi_str_mv | 10.1155/2020/8403262 |
| format | Article |
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| source | Wiley-Blackwell Open Access Titles; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Accuracy Back propagation Classification Computer simulation Convolution Deep learning Image detection Machine learning Methods Neural networks Object recognition Researchers |
| title | Object Detection through Modified YOLO Neural Network |
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