Hybrid Pooling Attention

A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

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A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification

Title: A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper link: https://github.com/chenpeng052/SCT-Net HPA (Hybrid Pooling Attention) Hybrid Pooling Attention: Divides channels into groups and performs global average pooling and global max pooling in both horizontal and vertical directions, followed by a 1×11 imes11×1 convolution and Sigmoid to obtain channel attention; simultaneously, … Read more

Lightweight Hybrid Pooling Attention Mechanism: Plug-and-Play for Enhanced Performance

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Lightweight Hybrid Pooling Attention Mechanism: Plug-and-Play for Enhanced Performance

Title:A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classification Paper link: https://github.com/chenpeng052/SCT-Net Proposed a CNN-Transformer synergistic network, combining the local feature extraction capability of CNNs with the global modeling capability of Transformers. Designed a Twin-Branch Feature Extraction (TBFE) module, which uses 2D and 3D convolutions in parallel to extract spatial and spectral … Read more