Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow. Improved for 3D instance segmentation and additional evaluation options.

ROS wrapper for yolact instance segmentation with depth image extension for 3D bounding boxes and pointcloud segmentation

Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes

[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation

[NeurIPS2023] 3D-OWIS is capable of detecting unknown instances in inference, and progressively learning novel classes in the process of training.

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

Official code of "Segment any 3D Object with Language"

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)

GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers (ICCV 2023)

Open3DIS: Open-vocabulary 3D Instance Segmentation with 2D Mask Guidance (CVPR 2024)

[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception

[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation

EmbodiedSAM: Online Segment Any 3D Thing in Real Time