Person Re-ID Model Training Method Based on Heterogeneous Dual Network and Feature Consistency
A pedestrian re-identification and model training technology, applied in biometric recognition, character and pattern recognition, instruments, etc., can solve problems such as pseudo-label noise interference, improve robustness, overcome triple loss, and enhance heterogeneity The effect of sex and complementarity
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[0063] The core of the present invention is to provide a domain adaptive pedestrian re-identification model training method, equipment, device and computer storage medium and pedestrian re-identification method based on heterogeneous dual networks and feature consistency, so as to solve the serious problems in the training methods in the prior art. suffers from the problem of pseudo-label noise.
[0064] In order to make those skilled in the art better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0065] Please refer to Figure 1 an...
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