Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...

Abstract: Recently, combining the strategy of consistency regularization with uncertainty estimation has shown promising performance on semi-supervised medical image segmentation tasks. However, most ...

Chinese AI company Deepseek has built an OCR system that compresses image-based text documents for language models, aiming to let AI handle much longer contexts without running into memory limits. The ...

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 ...