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Stop wasting compute pre-training on domain-specific datasets; this simple strategy lets you pre-train on ImageNet and still achieve state-of-the-art results on diverse remote sensing segmentation tasks.
R-CAI can generate high-quality toxic data while improving semantic coherence, revolutionizing how we approach adversarial data synthesis for AI safety.
Fisheye cameras in robotics offer superior scene generalization, but only if you train them with enough environmental diversity to avoid overfitting.