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Found 2 papers, 1 papers with code
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning
Existing watermark removal methods mainly rely on UNet with task-specific decoder branches--one for watermark localization and the other for background image restoration.
Benchmarking optimality of time series classification methods in distinguishing diffusions
Statistical optimality benchmarking is crucial for analyzing and designing time series classification (TSC) algorithms.
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