最低点
发表于 2025-4-1 04:40:37
https://doi.org/10.1007/978-94-017-3023-5network (GAN) to expand training samples and evaluate the performance of two different label assignment strategies for the generated samples. We also investigate how the number of generated samples influences the re-ID performance. We do several experiments on the Market1501 database, and the experi
无王时期,
发表于 2025-4-1 09:13:05
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RECUR
发表于 2025-4-1 11:40:45
Models of the Solar Photosphereations focused on generator network (.) of GANs to solve the daily challenges. However, rare of them had been aware of the great value of the discriminator network (.). In this paper, we propose a new method of detecting white Gaussian noise and its degree by the discriminator of generative adversar
Malcontent
发表于 2025-4-1 16:28:16
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