VSA-CGAN: An Intelligent Generation Model for Deep Learning Sample ...
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Jul 27, 2020 · The model in this article has completed numerical experiments on several general standard data sets, and compared with several mainstream ...
The experimental results show that the generation model in this paper has excellent object simulation ability and strong application prospects.
Aug 7, 2020 · The goal of the generator is to fit the sample data and generate the simulation data, while the goal of the discriminator is to distinguish the ...
Figure 12 shows part of the simulation results of VSA-CGAN on MOD3 data. VSA-CGAN: An Intelligent Generation Model for Deep Learning Sample Database ...
HDMA-CGAN employs a novel multi-attention mechanism and color optimization strategies, enabling precise style replication with improved fidelity and vibrancy.
DCGAN is an unsupervised learning model that incorporates convolutional layers from CNNs into the generator and discriminator networks to make the model ...
Missing: VSA- | Show results with:VSA-
VSA-CGAN: An Intelligent Generation Model for Deep Learning Sample Database Construction · Computer Science, Engineering. IEEE Access · 2020.
Jul 27, 2020 · VSA-CGAN: An Intelligent Generation Model for Deep Learning Sample Database Construction. In order to solve the problem of model accuracy ...
Sep 1, 2020 · A generative adversarial network, or GAN for short, is an architecture for training deep learning-based generative models. The architecture is ...
Missing: VSA- Intelligent Database
Sep 29, 2022 · The results show that the samples generated by CGAN can enhance transfer learning performance in few-shot HCR tasks. This is by achieving model ...