| Citation: | ZHAO Penghui, MENG Chunning, CHANG Shengjianget al. Single shot multibox detector based on asynchronous convolution factorization and shunt structure[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(10): 2089-2098. doi: 10.13700/j.bh.1001-5965.2018.0564(in Chinese)
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Single shot multibox detector (SSD) owns the relatively independent regression computations of multi-regressive feature maps, while the object detection algorithms based on SSD cannot make a tradeoff between detection accuracy and real-time speed. To solve the problems above, a single shot mutibox detector based on asynchronous convolution factorization and shunt structure (FA-SSD) is introduced based on asynchronous convolution factorization algorithm and shunt structure. The shunt structure, based on the proposed asynchronous convolution factorization algorithm, is designed to staggerly connect the layers of regression features, enhancing the unity and coordination between regression calculations. In order to optimize the mainstream of high-level structure, the asynchronous convolution factorization algorithm and max pooling are implemented to reduce the dimension of image features in the mainstream and shunt respectively, which can hold the spatial information while improving the diversity of features. According to the experimental results from VOC2007test, FA-SSD achieves a mean average precision of 80.5% after the training of VOC2007trainval and VOC2012trainval with nominal resolution of 300×300, while the detection speed exceeds 30 frames per second.
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