A prompt-conditioned transformer segments time series at coarse and fine granularities in one model, reporting 24.49% and 17.88% accuracy gains over baselines and up to 599.24% in transfer settings.
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PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation
A prompt-conditioned transformer segments time series at coarse and fine granularities in one model, reporting 24.49% and 17.88% accuracy gains over baselines and up to 599.24% in transfer settings.