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Pretraining using large labeled data sets has become a core tool for developing high-performance computer vision (CV) models. But while this method works well with many types of media, it hasn’t been widely used for 3D recognition tasks, such as identifying and localizing a couch in a 3D scan of a living room. This is …

Training AI systems with curated and labeled data sets has produced specialized AI models that excel at tasks like object recognition. But relying solely on this approach also has real limitations, including one we consider particularly important to address: Such systems can struggle to recognize objects that are common in daily life for billions of …