Chaotic maps act as augmentations in contrastive pre-training to learn topologically robust texture features, outperforming SOTA on six benchmarks when combined with attention-based fusion.
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Chaotic Contrastive Learning for Robust Texture Classification
Chaotic maps act as augmentations in contrastive pre-training to learn topologically robust texture features, outperforming SOTA on six benchmarks when combined with attention-based fusion.