This AI Paper Unveils an Enhanced CycleGAN Approach for Robust Person Re-identification Across Varied Camera Styles

Person re-identification (ReID) aims to identify individuals across multiple non-overlapping cameras. The challenge of obtaining comprehensive datasets has driven the need for data augmentation, with generative adversarial networks (GANs) emerging as a promising solution. Techniques like GAN and its variant, deep convolutional generative adversarial networks (DCGAN), have been used to generate human images for data […]

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