Publication · 2025
UWE-Net: A Deep Learning Framework for Underwater Image Enhancement Integrating CBAM and Charbonnier Loss
Procedia Computer Science · ScienceDirect
A hybrid CNN combining a VGG16 encoder with a custom decoder and CBAM attention in skip connections, trained with Charbonnier loss for robust underwater image restoration.
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