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MG2CL: Multi-Granularity Graph Contrastive Learning for Skeleton-Based Action Recognition
Skeleton-based action recognition has gained increasing attention as a robust alternative to RGB-based methods due to its resilience to background clutter and lighting variations. Existing approaches have achieved notable progress, particularly with graph-based models that capture topological and temporal patterns of h...
When Frequency Fitness Assignment Fails: Trapped States in Frequency-Guided Local Search
This article discovers a condition under which purely FFA-guided search can actually get stuck, even on a problem as simple as OneMax, and suggests hybrid approaches combining objective-guided and FFA-guided search.