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W. Li, P. Fang and H. Xue are with the School of Computer Science and Engineering, Southeast University, Nanjing 210096, China and the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, Nanjing 211189, China (E-mail: {wenqianli.li, fangpengfei, hxue}@seu.edu.cn).∗ Corresponding author
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By intelligently reorienting adversarial style perturbations, SRasP achieves state-of-the-art cross-domain few-shot learning performance, demonstrating the power of stabilized adversarial training for domain generalization.
