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Found 4 papers, 1 papers with code
ARFA: An Asymmetric Receptive Field Autoencoder Model for Spatiotemporal Prediction
Additionally, we construct the RainBench, a large-scale radar echo dataset for precipitation prediction, to address the scarcity of meteorological data in the domain.
Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism
Accurate visualization of liver tumors and their surrounding blood vessels is essential for noninvasive diagnosis and prognosis prediction of tumors.
Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer’s progression
In this paper, we propose a two-task graph convolutional network (2T-GCN) to represent skeleton data for HAE tasks involving abnormality detection and quality evaluation.
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Are We Ready For Learned Cardinality Estimation?
The results show that learned models are indeed more accurate than traditional methods, but they often suffer from high training and inference costs.
