Scene classification based on semantic labeling
Finding an appropriate image representation is a crucial problem in robotics. This problem has been classically addressed by means of computer vision techniques, where local and global features are used. The selection or/and combination of different features is carried out by taking into account rep...
Sparad:
| Huvudupphov: | |
|---|---|
| Övriga upphov: | , , , , |
| Materialtyp: | article |
| Språk: | engelska |
| Utgiven: |
2019
|
| Ämnen: | |
| Länkar: | https://www.tandfonline.com/doi/full/10.1080/01691864.2016.1164621?scroll=top&needAccess=true https://doi.org/10.1080/01691864.2016.1164621 http://ridda2.utp.ac.pa/handle/123456789/6474 |
| Taggar: |
Inga taggar, Lägg till första taggen!
|
Liknande verk: Scene classification based on semantic labeling
- Semi-supervised 3D object recognition through CNN labeling
- How to add new knowledge to already trained deep learning models applied to semantic localization
- Scene Understanding for Mobile Robots Exploiting Deep Learning Techinques
- Automatic semantic maps generation from lexical annotations
- LexToMap: lexical-based topological mapping
- Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras