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...
| প্রধান লেখক: | , , |
|---|---|
| বিন্যাস: | Conference item |
| ভাষা: | English |
| প্রকাশিত: |
IEEE
2017
|