1 Semantic segmentation-assisted instance feature fusion for multi-level 3D part instance segmentation [期刊论文]
Computational Visual Media,2022年
Chun-Yu Sun, Xin Tong, Yang Liu
LicenseType:CC BY |
Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use semantic segmentation and instance center prediction as training tasks and fail to further exploit the inherent relationship between shape semantics and part instances. In this paper, we present a new method for 3D part instance segmentation. Our method exploits semantic segmentation to fuse nonlocal instance features, such as center prediction, and further enhances the fusion scheme in a multi- and cross-level way. We also propose a semantic region center prediction task to train and leverage the prediction results to improve the clustering of instance points. Our method outperforms existing methods with a large-margin improvement in the PartNet benchmark. We also demonstrate that our feature fusion scheme can be applied to other existing methods to improve their performance in indoor scene instance segmentation tasks.
Microbiome,2022年
Meng Li, Yang Liu, Huan Du, Jie Pan, Dayu Zou, Yuhan Huang
LicenseType:CC BY |
3 Contrast-enhanced CT findings-based model to predict MVI in patients with hepatocellular carcinoma [期刊论文]
BMC Gastroenterology,2022年
Xudong Zhang, Yang Liu, Yin Yin, Jincheng Wang, Kun Wang, Xiaoliang Xu, Qiaoyu Liu, Zheyu Zhou, Qi Yue, Yu Zhao
LicenseType:CC BY |
Computational Visual Media,2022年
Yu-Qi Yang, Hao-Xiang Guo, Heung-Yeung Shum, Chun-Yu Sun, Xin Tong, Peng-Shuai Wang, Yang Liu
LicenseType:CC BY |
Computational Visual Media,2022年
Yu-Qi Yang, Hao-Xiang Guo, Heung-Yeung Shum, Chun-Yu Sun, Xin Tong, Peng-Shuai Wang, Yang Liu
LicenseType:CC BY |
Journal of Ovarian Research,2022年
Xi Guo, Turui Yang, Xiaoting Shen, Minghui Chen, Yiping Zhong, Rihan Wu, Yang Liu
LicenseType:CC BY |