data/ ├── noise/ # Background noise samples used for mixing ├── train/ # Training dataset │ ├── clean_trainset_wav/ # Clean training audio │ └── noisy_trainset_wav/ # Noisy training audio ├── validate ...

Abstract: Dynamic image degradations, including noise, blur and lighting inconsistencies, pose significant challenges in image restoration, often due to sensor limitations or adverse environmental ...

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Abstract: Well-performed deep neural networks (DNNs) generally require massive labeled data and computational resources for training. Various watermarking techniques are proposed to protect such ...

Abstract: Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage ...