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Fig 1.

ReID implementation process.

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Fig 1 Expand

Fig 2.

GAN structure.

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Fig 2 Expand

Fig 3.

RRDB structure.

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Fig 3 Expand

Fig 4.

The generator structure of ESRGAN.

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Fig 5.

Bidirectional GAN structure.

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Fig 6.

Discriminator structure of forward GAN.

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Fig 6 Expand

Fig 7.

Generator and discriminator structure of reverse GAN.

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Fig 7 Expand

Table 1.

Ablation experiment.

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Table 1 Expand

Fig 8.

Performance of each model on SSIM and IS indicators.

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Fig 8 Expand

Fig 9.

mAP values of each model on different datasets.

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Fig 9 Expand

Fig 10.

Performance of each model on the Rank-5 accuracy metric.

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Fig 10 Expand

Fig 11.

Comparison of the model’s correct recognition rate and average response time.

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Fig 11 Expand

Fig 12.

Resource utilization of the model.

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Fig 12 Expand

Table 2.

FPR and FNR of each model in various scenarios.

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Table 2 Expand