Abstract: Large-scale, big-variant, high-quality data are crucial for developing robust and successful deep-learning models for medical applications since they potentially enable better generalization ...
Abstract: Currently, most existing binary image watermarking methods are vulnerable to print-scan attacks. Then, this paper proposes a novel adaptive binary image watermarking algorithm resistant to ...
All resulting images and pre-trained models are available in the provided links. 11/26/2024 Code for real haze and haze4k are released. 07/22/2024 We release the code for dehazing (ITS/OTS), desnowing ...
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