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Found 3 papers, 1 papers with code
CAST: Cluster-Aware Self-Training for Tabular Data
In this regard, we propose Cluster-Aware Self-Training (CAST) for tabular data, which enhances existing self-training algorithms at a negligible cost without significant modifications.
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data
Recent progress in semi- and self-supervised learning has caused a rift in the long-held belief about the need for an enormous amount of labeled data for machine learning and the irrelevancy of unlabeled data.
3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
Fusing data from cameras and LiDAR sensors is an essential technique to achieve robust 3D object detection.
Ranked #1 on
3D Object Detection
on KITTI Cars Hard
