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Found 4 papers, 3 papers with code
Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening
In this paper, we introduce a so-called content-adaptive non-local convolution (CANConv), a novel method tailored for remote sensing image pansharpening.
Tensor Decomposition Based Attention Module for Spiking Neural Networks
Then, in AMC, we exploit the inverse procedure of the tensor decomposition process to combine the three tensors into the attention map using a so-called connecting factor.
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
Given the critical role of attention mechanisms in enhancing neural network performance, the integration of SNNs and attention mechanisms exhibits potential to deliver energy-efficient and high-performance computing paradigms.
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning
However, a major challenge of GE is how to choose proper neighbors for graph construction and explore the spatial information of HSI data.
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