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Found 3 papers, 0 papers with code
I3DOD: Towards Incremental 3D Object Detection via Prompting
Meanwhile, the current class-incremental 3D object detection methods neglect the relationships between the object localization information and category semantic information and assume all the knowledge of old model is reliable.
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
We propose a novel 3D point cloud segmentation framework named SASO, which jointly performs semantic and instance segmentation tasks.
Ranked #2 on
3D Instance Segmentation
on S3DIS
(mIoU metric)
3D Instance Segmentation
3D Semantic Instance Segmentation
+4
Non-flat Ground Detection Based on A Local Descriptor
The main contribution of this paper is a newly proposed descriptor which is implemented in the disparity image to obtain a disparity texture image.
