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Fudan University
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Semantic visual-action tokenization in RepWAM significantly enhances robotic manipulation performance, outperforming traditional reconstruction-based approaches.
Aligning shallow and deep features in representation autoencoders leads to a dramatic improvement in image reconstruction quality, setting new benchmarks in the field.
