HQ-UNet places a shallow quantum circuit at the U-Net bottleneck and reports 0.805 mean IoU and 94.76% accuracy on LandCover.ai, beating the classical baseline.
Qufex: Quantum feature extraction module for hybrid quantum-classical deep neu- ral networks
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HQF-Net reports mIoU gains on three remote-sensing benchmarks by adding quantum circuits to skip connections and a mixture-of-experts bottleneck inside a classical U-Net fused with a DINOv3 backbone.
citing papers explorer
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HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation
HQ-UNet places a shallow quantum circuit at the U-Net bottleneck and reports 0.805 mean IoU and 94.76% accuracy on LandCover.ai, beating the classical baseline.
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HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation
HQF-Net reports mIoU gains on three remote-sensing benchmarks by adding quantum circuits to skip connections and a mixture-of-experts bottleneck inside a classical U-Net fused with a DINOv3 backbone.