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Feature Attention Network (FA-Net): A Deep-Learning Based Approach for Underwater Single Image Enhancement
In particular, we propose a Residual Feature Attention Block (RFAB), containing the channel attention, pixel attention, and residual learning mechanism with long and short skip connections.
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