A unified feature codec for CNN and ViT features, built with format and value alignment, beats an architecture-specific baseline on ImageNet classification.
Training Details We construct our training set by randomly selecting 10,000 images from ImageNet
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Cross-architecture universal feature coding via distribution alignment
A unified feature codec for CNN and ViT features, built with format and value alignment, beats an architecture-specific baseline on ImageNet classification.