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Stop hand-labeling real-world videos: a meta-model can learn to verify tracker outputs and generate high-quality pseudo-labels for fine-tuning, achieving SOTA with less data.
A single visual backbone can now handle perception, reconstruction, and action in streaming video, rivaling specialized models without task-specific fine-tuning.