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Found 2 papers, 1 papers with code
SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation
Recent studies show that self-attentions behave like low-pass filters (as opposed to convolutions) and enhancing their high-pass filtering capability improves model performance.
PAM:Point-wise Attention Module for 6D Object Pose Estimation
In GAP, it is designed to pay attention to important information in geometric information, and CAP is designed to pay attention to important information in Channel information.
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