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Found 2 papers, 2 papers with code
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
To handle the multi-scale temporal patterns and multivariate dependencies, we propose a novel temporal patching approach to model the time series as multi-scale patches, and employ MLPs to capture intra- and inter-patch variations and channel-wise correlations.
Semi-Supervised Few-Shot Atomic Action Recognition
Despite excellent progress has been made, the performance on action recognition still heavily relies on specific datasets, which are difficult to extend new action classes due to labor-intensive labeling.
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