Abstract: Multi-label feature selection (MFS) aims to select effective features that can be associated with multiple class labels. However, existing MFS methods usually constrain the feature selection ...

This is the official implementation of our work presented at CVPR 2024, titled Multiple View Geometry Transformers for 3D Human Pose Estimation. We employ a coarse-to-fine query refinement process, ...

Abstract: Multi-label feature selection solves the high-dimensional challenge problem in multi-label learning, and is widely used in pattern recognition, machine learning, and other related fields.

Laptops are practical because you can take them with you. However, laptops have a relatively small screen. If you work on a mobile computer, it quickly becomes annoying to constantly switch programs.