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State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences
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Transforming continuous geometric signals into structured discrete tokens leads to state-of-the-art performance in multi-animal tracking, even in the most challenging scenarios.
SkelEM achieves high-fidelity detail restoration in volume microscopy in under five steps, outperforming existing self-supervised methods.
