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Found 5 papers, 4 papers with code
Local and Global Contexts for Conversation
The context in conversation is the dialog history crucial for multi-turn dialogue.
UADB: Unsupervised Anomaly Detection Booster
This is a challenging task given the heterogeneous model structures and assumptions adopted by existing UAD methods.
PatchFormer: An Efficient Point Transformer with Patch Attention
Extensive experiments demonstrate that our network achieves comparable accuracy on general point cloud learning tasks with 9. 2x speed-up than previous point Transformers.
Ranked #1 on
Semantic Segmentation
on ShapeNet
PVT: Point-Voxel Transformer for Point Cloud Learning
The recently developed pure Transformer architectures have attained promising accuracy on point cloud learning benchmarks compared to convolutional neural networks.
Ranked #18 on
3D Part Segmentation
on ShapeNet-Part
Quantifying socioeconomic activities and weather effects on the global spread of COVID-19 epidemic
We finally estimate the reduced reproductive number and the population spared from infections due to restricting SA at 40, 964, 180, 336, 174, 494, in China, United States, and Europe respectively.
