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Found 3 papers, 3 papers with code
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Unlike existing methods that focus on training models from a single modal of time series input, large language models (LLMs) based MTSF methods with cross-modal text and time series input have recently shown great superiority, especially with limited temporal data.
Knowledge Distillation
Multivariate Time Series Forecasting
+2
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting
In this paper, we propose a Wavelet-Fourier Transform Network (WFTNet) for long-term time series forecasting.
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes
Although cross-view multi-object tracking has received increased attention in recent years, existing datasets still have several issues, including 1) missing real-world scenarios, 2) lacking diverse scenes, 3) owning a limited number of tracks, 4) comprising only static cameras, and 5) lacking standard benchmarks, which hinder the investigation and comparison of cross-view tracking methods.
