Abstract: Deep-learning-based watermarking technique is being extensively studied. Most existing approaches adopt a similar encoder-driven scheme which we name END (Encoder-NoiseLayer-Decoder) ...
Abstract: Deep convolutional neural networks have been widely used for medical image segmentation due to their superiority in feature learning. Although these networks are successful for simple object ...
It replaces the Gemini 2.5 Flash Image model from August and is built to handle complex scenes with consistent physics, render text accurately, and use real-time information as input. It also appears ...
A new benchmark from Artificial Analysis reveals alarming weaknesses in the factual reliability of large language models. Out of 40 models tested, only four achieved a positive score - with Google's ...
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