Quantum Squeeze-and-Excitation Networks: Harnessing Quantum Noise for Robust Attention Mechanisms in Hybrid Architectures
Abstract: By simulating the selective focus characteristics of human visual attention, the attention network has greatly improved the model’s ability to capture key features, promoting significant progress in natural language processing, computer vision and other fields. As a typical attention mechanism, the Squeeze-and-Excitation (SE) module finely adjusts the feature representation of the neural network by […]

