Abstract: Foundation models have significantly reduced the need for task-specific training, while also enhancing generaliz-ability. However, state-of-the-art 6D pose estimators either require further ...
Abstract: We study multi-dataset training (MDT) for pose estimation, where skeletal heterogeneity presents a unique challenge that existing methods have yet to address. In traditional domains, e.g.
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