Abstract: Fusion-based spectral super-resolution aims to yield a high-resolution hyperspectral image (HR-HSI) by integrating the available high-resolution multispectral image (HR-MSI) with the ...
Abstract: Federated learning is useful when predicting user preferences due to its ability to keep user data private. As such, certain data samples may be more useful than others. For instance, with a ...
Abstract: Federated learning (FL), as a distributed machine learning paradigm, enables multiple users to train machine learning models locally using individual data and then update global model in a ...
Abstract: Existing methods for learning 3D point cloud representation often use a single dataset-specific training and testing approach, leading to performance drops due to significant domain shifts ...
The p2 Update sites listed above (since 0.13.0) contain a japicmp report against the last released version to make it easier to identify API changes. The Eclipse LSP4J project uses Semantic Versioning ...
See the VS Code Tips wiki for a quick primer on getting started with VS Code. Setting up the JDK The extension requires JDK 17 or newer to run. Optionally, set a different JDK to compile and run ...
Abstract: Video-based person re-identification aims to associate the video clips of the same person across multiple non-overlapping cameras. Spatial-temporal representations can provide richer and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results