S²-FracMix creates label-preserving augmented samples via intra-image self-saliency patch mixing and fractal pattern injection, claiming SOTA results across seven benchmarks in classification, robustness, detection, and transfer tasks.
arXiv preprint arXiv:2603.29313 (2026)
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$S^{2}$-FracMix: Label-Preserving Self-Saliency Mixup Augmentation
S²-FracMix creates label-preserving augmented samples via intra-image self-saliency patch mixing and fractal pattern injection, claiming SOTA results across seven benchmarks in classification, robustness, detection, and transfer tasks.