国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Target detection based on deep convolution neural network shows good performance in application. However, its performance in weak and small target detection is still poor. In this paper, an effective weak and small target detection method is proposed. The improved feature extraction method and scale matching strategy are used to select the appropriate scale for small target detection. At the same time, an adaptive fusion module is designed in the neural network to enhance the characteristics of the target environment by fusing the features and the receiving domain. The proposed method has good performance in detection speed and accuracy. It effectively solves the problem that the general box strategy can not accurately obtain small targets. The new strategy uses adaptive parameters to determine the detection box. Experimental results show that the proposed method can effectively detect weak and small targets in video data, and is superior to other advanced target detection methods.