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3D Instance Segmentation

11 papers with code ยท Computer Vision

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OccuSeg: Occupancy-aware 3D Instance Segmentation

14 Mar 2020

3D instance segmentation, with a variety of applications in robotics and augmented reality, is in large demands these days.

3D INSTANCE SEGMENTATION MULTI-TASK LEARNING SEMANTIC SEGMENTATION

3D Instance Segmentation via Multi-Task Metric Learning

ICCV 2019

The second goal is to learn instance information by densely estimating directional information of the instance's center of mass for each voxel.

3D INSTANCE SEGMENTATION 3D RECONSTRUCTION METRIC LEARNING MULTI-TASK LEARNING SEMANTIC SEGMENTATION

Multi-view PointNet for 3D Scene Understanding

30 Sep 2019

Fusion of 2D images and 3D point clouds is important because information from dense images can enhance sparse point clouds.

3D INSTANCE SEGMENTATION 3D SEMANTIC SEGMENTATION SCENE UNDERSTANDING

3D Instance Segmentation via Multi-Task Metric Learning

ICCV 2019

The second goal is to learn instance information by densely estimating directional information of the instance's center of mass for each voxel.

3D INSTANCE SEGMENTATION 3D RECONSTRUCTION METRIC LEARNING MULTI-TASK LEARNING SEMANTIC SEGMENTATION

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

CVPR 2019

We introduce a novel 3D object proposal approach named Generative Shape Proposal Network (GSPN) for instance segmentation in point cloud data.

3D INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Associatively Segmenting Instances and Semantics in Point Clouds

CVPR 2019

Specifically, we make instance segmentation benefit from semantic segmentation through learning semantic-aware point-level instance embedding.

3D INSTANCE SEGMENTATION 3D SEMANTIC SEGMENTATION

PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation

18 Feb 2019

Finally, we extend the Sort algorithm with this instance framework to realize tracking in the 3D LiDAR point cloud data.

3D INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning

4 Jan 2019

We propose a novel approach for automatic extraction (instance segmentation) of fibers from low resolution 3D X-ray computed tomography scans of short glass fiber reinforced polymers.

3D INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

ClusterNet: 3D Instance Segmentation in RGB-D Images

24 Jul 2018

We show that our method generalizes well on real-world data achieving visually better segmentation results.

3D INSTANCE SEGMENTATION DECISION MAKING SEMANTIC SEGMENTATION