%0 Journal Article %A ZHOU Lungang %A SUN Yifeng %A WANG Kun %A WU Jiang %A HUANG Weigui %A LI Binglong %T End to End Object Recognition Algorithm for Multi-attributes of Multi-values %D 2021 %R 10.3778/j.issn.1002-8331.1912-0403 %J Computer Engineering and Applications %P 182-190 %V 57 %N 9 %X

In order to improve image object recognition speed for multi-attributes of multi-values, an end-to-end recognition algorithm is proposed. Firstly, the modified YoloV3 network is used as main network in order to detect the object bounding boxes. Sub-networks are constructed according to the independent attributes. Sub-networks share the deep bounding box features of main network and adopt multi-outputs to recognize the attributes multi-values. There are three stages with different objective functions in the training process. Experimental results show that the proposed algorithm has good performance.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1912-0403