KoPE adds Kuramoto-based oscillatory phase states and synchronization to Vision Transformers, improving training, parameter, and data efficiency on structured vision tasks.
As Mask2Former requires pyramid inputs, we leverage a simple feature-to-pyramid module on the last layer of ViT or ViT+KoPE, similar to Li et al
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Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
KoPE adds Kuramoto-based oscillatory phase states and synchronization to Vision Transformers, improving training, parameter, and data efficiency on structured vision tasks.