3D2SeqViews : Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation
Learning 3D global features by aggregating multiple views is important. Pooling is widely used to aggregate views in deep learning models. However, pooling disregards a lot of content information within views and the spatial relationship among the views, which limits the discriminability of learned...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 8 vom: 13. Aug., Seite 3986-3999
|
|---|
| 1. Verfasser: |
Han, Zhizhong
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Lu, Honglei,
Liu, Zhenbao,
Vong, Chi-Man,
Liu, Yu-Shen,
Zwicker, Matthias,
Han, Junwei,
Chen, C L Philip |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2019
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|