Empowering large language models with 3D point cloud understanding, accompanied by a novel dataset and carefully designed benchmarks. Project page: this https URL* 相关: github.com/OpenRobotLab* 题目: Decoupled Local Aggregation for Point Cloud Learning* PDF: arxiv.org/abs/2308.1653* 作者: ...
* 题目: Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision* PDF: arxiv.org/abs/2308.0666* 作者: Jiexiang Wang,Chaoqi Chen* 其他: Accepted by IPMI 2023* 题目: Dealing with Small Annotated Datasets for Deep Learning in Medical Imaging: An Evaluation of Self...
Rapid and effective segmentation of 3D models using random walks. Comput. Aided Geom. Des. 26, 6, 665-679.Lai, Y., Hu, S., Martin, R., Rosin, P.: Rapid and effective segmentation of 3D models using random walks. Comput. Aided Geom. Des. 26 (6), 665–679 (2009) Math...
Papaleo, L., De Floriani, L. (2009). Semantic-Based Segmentation and Annotation of 3D Models. In: Foggia, P., Sansone, C., Vento, M. (eds) Image Analysis and Processing – ICIAP 2009. ICIAP 2009. Lecture Notes in Computer Science, vol 5716. Springer, Berlin, Heidelberg. https://d...
First, a segmentation approach is applied to achieve the motion estimation. The main idea is to exploit the temporal coherence of the geometry component by using the heat diffusion properties. The motion of the resulting regions is accurately described by 3D affine transforms. These transforms are ...
Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning - microsoft/InnerEye-DeepLearning
models components __init__.py m_3d_unet.py mnist_module.py utils __init__.py eval.py scoring.py train.py tests .env.example .gitignore .pre-commit-config.yaml .project-root Makefile README.md environment.yaml pyproject.toml requirements.txt setup.pyBreadcrumbs stroke-region-3d-segmentation...
Recently, several convolutional neural networks have been proposed not only for 2D images, but also for 3D and 4D volume segmentation. Nevertheless, due to the large data size of the latter, acquiring a sufficient amount of training annotations is much m
* 题目: Diffusion Models for Zero-Shot Open-Vocabulary Segmentation* PDF: arxiv.org/abs/2306.0931* 作者: Laurynas Karazija,Iro Laina,Andrea Vedaldi,Christian Rupprecht* 其他: Project page this https URL* 题目: Robustness Analysis on Foundational Segmentation Models* PDF: arxiv.org/abs/2306.0927*...
Generalizable 3D part segmentation is important but challenging in vision and robotics. Training deep models via conventional supervised methods requires large-scale 3D datasets with fine-grained part annotations, which are costly to collect. This paper explores an alternative way for low-shot part segm...