Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow. Improved for 3D instance segmentation and additional evaluation options.
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Updated
Feb 19, 2021 - Jupyter Notebook
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow. Improved for 3D instance segmentation and additional evaluation options.
3D Pointclouds annotation and Instance segmentation for plant phenotyping
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers (ICCV 2023)
ROS wrapper for yolact instance segmentation with depth image extension for 3D bounding boxes and pointcloud segmentation
Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."
Official code of "Segment any 3D Object with Language"
Open3DIS: Open-vocabulary 3D Instance Segmentation with 2D Mask Guidance (CVPR 2024)
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
[CVPR 2024] Memory-based Adapters for Online 3D Scene Perception
[NeurIPS2023] 3D-OWIS is capable of detecting unknown instances in inference, and progressively learning novel classes in the process of training.
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution (CVPR 2023)
[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation
[CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
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