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VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification

Songle Chen, Lintao Zheng, Yan Zhang, Zhixin Sun, Kai Xu
2018 IEEE Transactions on Visualization and Computer Graphics  
This paper presents VERAM, a view-enhanced recurrent attention model capable of actively selecting a sequence of views for highly accurate 3D shape classification.  ...  Index Terms-3D shape classification, multi-view 3D shape recognition, visual attention model, recurrent neural network, reinforcement learning, convolutional neural network.  ...  CONCLUSION We have presented VERAM, a recurrent attention model capable of actively selecting a sequence of views for highly accurate 3D shape classification.  ... 
doi:10.1109/tvcg.2018.2866793 pmid:30137010 fatcat:wtrgastivzfgriv5eobfifirga

Recurrent 3D Attentional Networks for End-to-End Active Object Recognition [article]

Min Liu, Yifei Shi, Lintao Zheng, Kai Xu, Hui Huang, Dinesh Manocha
2022 arXiv   pre-print
Our model, trained with 3D shape datasets, is able to iteratively attend to the best views targeting an object of interest for recognizing it.  ...  , through developing an end-to-end recurrent 3D attentional network.  ...  Acknowledgements We thank the anonymous reviewers for their valuable comments. This work was supported, in parts, by an NSFC programs (61572507, 61622212, 61532003).  ... 
arXiv:1610.04308v4 fatcat:cxoqgqes6nej7jfykhcxiip5lm

Recurrent 3D attentional networks for end-to-end active object recognition

Min Liu, Yifei Shi, Lintao Zheng, Kai Xu, Hui Huang, Dinesh Manocha
2019 Computational Visual Media  
Our model, trained with 3D shape datasets, is able to iteratively attend the best views targeting an object of interest for recognizing it.  ...  of an end-toend recurrent 3D attentional network.  ...  Acknowledgements We thank the anonymous reviewers for their valuable comments.  ... 
doi:10.1007/s41095-019-0135-2 fatcat:yyqgi6ts5vh7nj7wvnlv4cithi

MVTN: Multi-View Transformation Network for 3D Shape Recognition [article]

Abdullah Hamdi, Silvio Giancola, Bernard Ghanem
2021 arXiv   pre-print
As a result, MVTN can be trained end-to-end along with any multi-view network for 3D shape classification.  ...  MVTN exhibits clear performance gains in the tasks of 3D shape classification and 3D shape retrieval without the need for extra training supervision.  ...  Veram: View-enhanced recurrent attention model for 3d shape classification.  ... 
arXiv:2011.13244v3 fatcat:yq2unyuxvfcm3ixjstc5d4vw7a

Abstracts

2008 Onkologie (Basel)  
Conclusions: Sexuality seems to be an important issue for laryngectomized patients. It is often affected and people are willing to talk about it.  ...  Results: Sexuality is an important topic for the patients, even when they do not have a permanent partner. 23% state, that their sexual relationship is impaired due to the tracheostoma. 57% do not enjoy  ...  The Morphable Model is a statistical shape model learned from 3D face scans of 200 persons using Principal Component Analysis.  ... 
doi:10.1159/000115425 fatcat:xw7v6jogijfp7mcj5b246vwly4