UNet-- replaces U-Net's four skip connections with a single compact multi-scale feature map plus an expansion module, reducing skip-connection memory by 93.3% while slightly improving restoration accuracy.
In: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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UNet--: Memory-Efficient and Feature-Enhanced Network Architecture based on U-Net with Reduced Skip-Connections
UNet-- replaces U-Net's four skip connections with a single compact multi-scale feature map plus an expansion module, reducing skip-connection memory by 93.3% while slightly improving restoration accuracy.