In this paper, we propose a novel fusion generative adversarial network named DewaterNet, and the main contributions of this paper are summarized as follows:.
Oct 22, 2024 · The DewaterNet [46] and TOPAL [69] models use a multi-term adversarial objective norm combining different dewatering-related loss functions, ...
An unsupervised multi-expert learning model based on generative adversarial network is employed to alleviate the need for paired underwater images and a ...
DewaterNet: A fusion adversarial real underwater image enhancement network ... image enhancement using generative adversarial network with multi-scale fusion.
Jun 17, 2019 · In this paper, we set up an effective and pubic underwater test dataset named U45 including the color casts, low contrast and haze-like effects of underwater ...
Missing: DewaterNet: | Show results with:DewaterNet:
DewaterNet: A fusion adversarial real underwater image enhancement network. Hanyu Li, Peixian Zhuang. DewaterNet: A fusion adversarial real underwater image ...
An effective and pubic underwater test dataset named U45 is set up including the color casts, low contrast and haze-like effects of underwater degradation ...
Missing: DewaterNet: | Show results with:DewaterNet:
DewaterNet: A fusion adversarial real underwater image enhancement network. H Li, P Zhuang. Signal Processing: Image Communication 95, 116248, 2021. 49, 2021.
Jun 6, 2023 · This paper attempts to combine traditional methods with deep learning and proposes a multi-input dense connection generator network (MDNet) for underwater ...
Missing: DewaterNet: | Show results with:DewaterNet:
DewaterNet: A fusion adversarial real underwater image enhancement network. H Li, P Zhuang. Signal Processing: Image Communication 95, 116248, 2021. 49, 2021.