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Attentional ShapeContextNet for Point Cloud Recognition
Başlık:
Attentional ShapeContextNet for Point Cloud Recognition
Yazar:
Liu, Sainan, author.
ISBN:
9780438129382
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (28 pages)
Genel Not:
Source: Masters Abstracts International, Volume: 57-06M(E).
Advisors: Zhuowen Tu Committee members: Manmohan K. Chandraker; David J. Kriegman.
Özet:
We tackle the problem of point cloud recognition. Unlike previous approaches where a point cloud is either converted into a volume/image or represented independently in a permutation-invariant set, we develop a new representation by adopting the concept of shape context as the building block in our network design. The resulting model, called ShapeContextNet, consists of a hierarchy with modules not relying on a fixed grid while still enjoying properties similar to those in convolutional neural networks --- being able to capture and propagate the object part information. In addition, we find inspiration from self-attention based models to include a simple yet effective contextual modeling mechanism --- making the contextual region selection, the feature aggregation, and the feature transformation process fully automatic. ShapeContextNet is an end-to-end model that can be applied to the general point cloud classification. We observe competitive results on a number of benchmark datasets.
Notlar:
School code: 0033
Konu Başlığı:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(695011.1) | 695011-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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