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Found 7 papers, 5 papers with code
SCformer: Segment Correlation Transformer for Long Sequence Time Series Forecasting
Long-term time series forecasting is widely used in real-world applications such as financial investment, electricity management and production planning.
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
In this way, if a key segment has a high correlation score with the query segment, its successive segment contributes more to the prediction of the query segment.
Do we really need temporal convolutions in action segmentation?
Most state-of-the-art methods focus on designing temporal convolution-based models, but the inflexibility of temporal convolutions and the difficulties in modeling long-term temporal dependencies restrict the potential of these models.
Ranked #1 on
Action Segmentation
on 50Salads
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Although artificial intelligence (AI) has made significant progress in understanding molecules in a wide range of fields, existing models generally acquire the single cognitive ability from the single molecular modality.
Ranked #7 on
Molecule Captioning
on ChEBI-20
Timestamp-Supervised Action Segmentation from the Perspective of Clustering
Most existing methods generate pseudo-labels for all frames in each video to train the segmentation model.
UIEDP:Underwater Image Enhancement with Diffusion Prior
To address this issue, we propose UIE with Diffusion Prior (UIEDP), a novel framework treating UIE as a posterior distribution sampling process of clear images conditioned on degraded underwater inputs.
End-To-End Underwater Video Enhancement: Dataset and Model
To fill this gap, we construct the Synthetic Underwater Video Enhancement (SUVE) dataset, comprising 840 diverse underwater-style videos paired with ground-truth reference videos.
