arXiv
Open Access
2018
Viewpoint Estimation-Insights & Model
Gilad Divon
Ayellet Tal
Abstrak
This paper addresses the problem of viewpoint estimation of an object in a given image. It presents five key insights that should be taken into consideration when designing a CNN that solves the problem. Based on these insights, the paper proposes a network in which (i) The architecture jointly solves detection, classification, and viewpoint estimation. (ii) New types of data are added and trained on. (iii) A novel loss function, which takes into account both the geometry of the problem and the new types of data, is propose. Our network improves the state-of-the-art results for this problem by 9.8%.
Topik & Kata Kunci
Penulis (2)
G
Gilad Divon
A
Ayellet Tal
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2018
- Bahasa
- en
- Sumber Database
- arXiv
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- Open Access ✓