SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention
Learning 3D global features by aggregating multiple views has been introduced as a successful strategy for 3D shape analysis. In recent deep learning models with end-to-end training, pooling is a widely adopted procedure for view aggregation. However, pooling merely retains the max or mean value ove...
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Veröffentlicht in: | IEEE transactions on image processing 2019-02, Vol.28 (2), p.658-672 |
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