UIESNN is a scale-aware spiking network that adds hierarchical multi-scale pooling to membrane dynamics in a residual architecture, achieving state-of-the-art results among SNN methods on EUVP and LSUI benchmarks.
Fast underwater image enhancement for improved visual perception
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UDehaze-iT is a lightweight deep network that enhances underwater images by implicitly estimating depth and deriving transmission via learnable Beer-Lambert attenuation coefficients, achieving competitive results on UIEB and UFO-120 with 0.9M parameters.
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UIESNN: A Scale-Aware Spiking Network for Underwater Image Enhancement
UIESNN is a scale-aware spiking network that adds hierarchical multi-scale pooling to membrane dynamics in a residual architecture, achieving state-of-the-art results among SNN methods on EUVP and LSUI benchmarks.
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An Underwater Dehazing Network with Implicit Transmission Estimation
UDehaze-iT is a lightweight deep network that enhances underwater images by implicitly estimating depth and deriving transmission via learnable Beer-Lambert attenuation coefficients, achieving competitive results on UIEB and UFO-120 with 0.9M parameters.