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SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Journal article
IEEE Transactions on Image Processing, 2019,Volume: 28,Issue: 2,Page: 658-672
Authors:  Han Z.;  Shang M.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Zwicker M.;  Han J.;  Chen C.L.P.
Favorite  |  View/Download:30/0  |  Submit date:2019/02/14
3d Feature Learning  Attention  Rnn  Sequential Labels  Sequential Views  View Aggregation  
Multi-View CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition Journal article
COGNITIVE COMPUTATION, 2018,Volume: 10,Issue: 6,Page: 908-921
Authors:  Yang, Zhi-Xin;  Tang, Lulu;  Zhang, Kun;  Wong, Pak Kin
Favorite  |  View/Download:24/0  |  Submit date:2019/01/17
Elm Auto-encoder  Convolutional Neural Networks  3d Shape Recognition  Multi-view Feature Aggregation  
Superpixel-based 3D deep neural networks for hyperspectral image classification Journal article
PATTERN RECOGNITION, 2018,Volume: 74,Page: 600-616
Authors:  Shi, Cheng;  Pun, Chi-Man
Favorite  |  View/Download:19/0  |  Submit date:2018/10/30
Hyperspectral Image Classification  Superpixel  3d Deep Neural Networks