Segment any point cloud sequences by distilling vision foundation models
Recent advancements in vision foundation models (VFMs) have opened up new
possibilities for versatile and efficient visual perception. In this work, we introduce Seal, a …
possibilities for versatile and efficient visual perception. In this work, we introduce Seal, a …
Multi-Space Alignments Towards Universal LiDAR Segmentation
A unified and versatile LiDAR segmentation model with strong robustness and
generalizability is desirable for safe autonomous driving perception. This work presents …
generalizability is desirable for safe autonomous driving perception. This work presents …
4d contrastive superflows are dense 3d representation learners
In the realm of autonomous driving, accurate 3D perception is the foundation. However,
developing such models relies on extensive human annotations–a process that is both …
developing such models relies on extensive human annotations–a process that is both …
[PDF][PDF] Semantic Sample Mixing Based Unsupervised Domain Adaptation for Semantic Segmentation of 3D LiDAR Point Clouds
A Nihal, V Kumar - researchgate.net
Semantic Sample Mixing Based Unsupervised Domain Adaptation for Semantic Segmentation
of 3D LiDAR Point Clouds Page 1 Semantic Sample Mixing Based Unsupervised Domain …
of 3D LiDAR Point Clouds Page 1 Semantic Sample Mixing Based Unsupervised Domain …