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[Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)

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IntroductionSample Mixup Policies in SLOptimizing CalibrationArea-basedLoss ObjectRandom Label PoliciesOptimizing Mixing RatioGenerating LabelAttention ScoreSaliency TokenSelf-Supervised LearningCV Downstream TasksTraining ParadigmsBeyond VisionAnalysis and TheoremSurveyBenchmarkRelated Datasets LinkRelated Project

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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me the best resources from awesome-mixup"

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