SRINet
Author:
Affiliation:
1. Peking University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3343031.3351042
Reference27 articles.
1. Point Pair Features Based Object Detection and Pose Estimation Revisited
2. CAD Priors for Accurate and Flexible Instance Reconstruction
3. Geometric Deep Learning: Going beyond Euclidean data
4. PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
5. Bertram Drost Markus Ulrich Nassir Navab and Slobodan Ilic. 2010. Model globally match locally: Efficient and robust 3D object recognition. In 2010 IEEE computer society conference on computer vision and pattern recognition. Ieee 998--1005. Bertram Drost Markus Ulrich Nassir Navab and Slobodan Ilic. 2010. Model globally match locally: Efficient and robust 3D object recognition. In 2010 IEEE computer society conference on computer vision and pattern recognition. Ieee 998--1005.
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