The study investigates the positive impact of hue variance on video recognition, proposing Motion Coherent Augmentation (MCA) to prioritize motion information. MCA introduces SwapMix for appearance variation and Variation Alignment (VA) to resolve distribution shifts. Empirical evaluations validate MCA's effectiveness across architectures and datasets, enhancing generalization ability. VA can be applied to other augmentation methods for improved performance.
To Another Language
from source content
arxiv.org
Principais Insights Extraídos De
by Yitian Zhang... às arxiv.org 03-15-2024
https://arxiv.org/pdf/2403.09506.pdfPerguntas Mais Profundas