About
Contact & Profiles
A5029360268
Research Areas
- Anomaly Detection Techniques and Applications
- Generative Adversarial Networks and Image Synthesis
- Digital Media Forensic Detection
Generative adversarial networks (GANs) have seen significant research interest over the past decade, yet core issues of training instability and mode collapse persist. This work proposes SwarmGAN, a novel GAN framework incorporating swarm intelligence to address these limitations. Specifically, exhibits properties well-suited enhance training: emergent complex behaviors arising from simple individual agents, decentralized adaptability instantaneous data hyperparameters, robustness through...
10.1145/3635638.3635663
article
EN
2023-10-27
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