RIDE applies Retinex-based homogeneous decomposition to improve foreground-background discriminability in concealed object segmentation tasks across multiple domains.
U-net: Convolutional networks for biomedical image segmentation
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The LoViF 2026 challenge introduces a short-form video weather removal dataset and summarizes results from 5 valid submissions out of 37 participants.
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RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects
RIDE applies Retinex-based homogeneous decomposition to improve foreground-background discriminability in concealed object segmentation tasks across multiple domains.
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LoViF 2026 The First Challenge on Weather Removal in Videos
The LoViF 2026 challenge introduces a short-form video weather removal dataset and summarizes results from 5 valid submissions out of 37 participants.