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Found 2 papers, 1 papers with code
Attention Discriminant Sampling for Point Clouds
The proposed attention discriminant sampling (ADS) starts by efficiently decomposing a given point cloud into clusters to implicitly encode its structural and geometric relatedness among points.
Adaptive and Generative Zero-Shot Learning
In addition, to break the limit of training with images only from seen classes, we design a generative scheme to simultaneously generate virtual class labels and their visual features by sampling and interpolating over seen counterparts.
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