Pedestrian re-identification method, device, equipment and medium based on deep learning network
A deep learning network and pedestrian re-identification technology, applied in the field of image recognition, can solve problems such as the calculation delay system missing the best opportunity, unfavorable real-time requirements for scene applications, and negative impacts on system functions, etc., to reduce the amount of calculation and facilitate storage and deployment, improving the effect of accuracy
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[0087] In recent years, with the continuous development of deep learning, deep learning networks have achieved remarkable performance in various fields. In order to further improve the performance of the network, at present, the performance of the network is usually continued to be improved by building a more complex network structure. It is undeniable that as the network becomes deeper or wider, the learning ability of the network is also continuously enhanced, but the amount of calculation of the network and parameters are also increasing rapidly, which is not conducive to deployment in practical applications; at the same time, as the number of network layers becomes larger, it is inevitable to introduce a lot of noise (useless features), and too many features usually not only will not improve the network performance. The ability of the model will confuse the classifier, thereby reducing the recognition ability of the network.
[0088] However, in the present invention, it i...
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