VICAL: Vicinal Consistency Alignment for Long-Tailed Visual Recognition
VICAL is introduced, a consistency-driven framework that improves long-tailed recognition not by enforcing expert diversity, but by reducing prediction variance, and suggests that multi-expert models benefit more from variance reduction than diversity maximization.
Jianggang Zhu, Zheng Wang, Bin Zhu et al.
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