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Found 3 papers, 1 papers with code
AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention
Specifically, we propose the cross-attention fusion (CAF) block, which adaptively fuses features of two modalities in the spatial and frequency domains by exchanging key and query values, and then calculates the cross-attention scores between the spatial and frequency features to further guide the spatial-frequential information fusion.
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting
In this paper, we propose a Time-Frequency Enhanced Decomposed Network (TFDNet) to capture both the long-term underlying patterns and temporal periodicity from the time-frequency domain.
Domain Balancing: Face Recognition on Long-Tailed Domains
Finally, we propose a Domain Balancing Margin (DBM) in the loss function to further optimize the feature space of the tail domains to improve generalization.
