Learning 3D object categories by looking around them
Traditional approaches for learning 3D object categories use either synthetic data or manual supervision. In this paper, we propose a method which does not require manual annotations and is instead cued by observing objects from a moving vantage point. Our system builds on two innovations: a Siamese...
| Hlavní autoři: | , , |
|---|---|
| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
IEEE
2017
|