Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding Paper • 2504.06719 • Published 14 days ago • 9
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding Paper • 2504.06719 • Published 14 days ago • 9 • 2
Spatially Guiding Unsupervised Semantic Segmentation Through Depth-Informed Feature Distillation and Sampling Paper • 2309.12378 • Published Sep 21, 2023 • 4
ClusterNet: A Perception-Based Clustering Model for Scattered Data Paper • 2304.14185 • Published Apr 27, 2023
PPSURF: Combining Patches and Point Convolutions for Detailed Surface Reconstruction Paper • 2401.08518 • Published Jan 16, 2024
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation Paper • 2411.16319 • Published Nov 25, 2024
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding Paper • 2504.06719 • Published 14 days ago • 9