其中一篇是2019年的ICML (Graph matching networks for learning the similarity of graph structured objects), 另一篇是2020年的ICLR (Deep graph matching consensus). 图匹配网络 (Graph Matching Networks) 这篇文章来自于DeepMind, 侧重于建模和应用. 这里只介绍此模型的关键思想, 具体的公式和细节读者可以参见...
几篇论文实现代码:《Deep Graph Matching Consensus》(ICLR 2020) GitHub:http://t.cn/A6v04uUx 《A Hierarchical Model for Data-to-Text Generation 》(ECIR 2020) GitHub:http://t.cn/A6v04uUV 《Learning a...
First, we use localized node embeddings computed by a graph neural network to obtain an initial ranking of soft correspondences between nodes. Secondly, we employ synchronous message passing networks to iteratively re-rank the soft correspondences to reach a matching consensus in local neighborhoods ...
Deep Graph Consensus《论文阅读》 想法很朴素,确实挺吸引人的 看了下源代码,有几个点写的很有技巧,学习ing. 欢迎交流
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang, Junchi Yan, Xiaokang Yang ICCV 2019 Deep Graph Matching Consensus Matthias Fey, Jan E. Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege ICLR 2020 4.11 Meta Learning and Few-shot Learning Few-Shot Learning...
Appearance consensus driven self-supervised human mesh recovery[C]//LNCS 12346: Proceedings of the 16th European Conference on Computer Vision, Glasgow, Aug 23-28, 2020. Cham: Springer, 2020: 794-812.. Google Scholar [34] KOLOTOUROS N, PAVLAKOS G, DANIILIDIS K. Conv-olutional mesh ...
This framework identifies sets of spatially consistent matches by analyzing the neighboring consensus patterns for a global geometric model. The model can be efficiently trained via weak supervision without any manual annotations of point correspondences. This type of framework can be applied for both ...
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. COMMUN ACM, 24(6):381–395, 1981. 3, 5 [17] Kexue Fu and et al. Robust point cloud registration frame- work based on deep graph matching....
Li et al.2019ICRAPose graph optimization for unsupervised monocular visual odometry DeepTAM2020IJCVDeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks DeepFactors2020RA-LDeepFactors: Real-Time Probabilistic Dense Monocular SLAM ModelsDatePublicationPaperCode ...
C. (1981). Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6), 381–395. Article MathSciNet Google Scholar Geiger, A., Lenz, P., & Urtasun, R. (2012). Are we ready for autonomous ...