Difference between revisions of "Deep Networks for Semantic Scene Understanding"
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| − | |Summary=The candidate will implement a neural network to detect spatial relations between objects in the scene. For instance, the book is on the table or the spoon is in the cup. | + | |Summary=The candidate will implement a neural network to detect spatial relations between objects in the scene. For instance, the book is on the table or the spoon is in the cup. |
|Prerequisites=Deep Neural Networks | |Prerequisites=Deep Neural Networks | ||
| − | |Supervisor=Eren Erdal Aksoy, | + | |Supervisor=Eren Erdal Aksoy, |
| + | |Level=Master | ||
| + | |Status=Open | ||
}} | }} | ||
The main research question is how to detect 2D and/or 3D spatial relations (on, above, inside) between objects in the scene. | The main research question is how to detect 2D and/or 3D spatial relations (on, above, inside) between objects in the scene. | ||
The candidate will implement a neural network to detect spatial relations between objects in the scene. For instance, the book is on the table or the spoon is in the cup. | The candidate will implement a neural network to detect spatial relations between objects in the scene. For instance, the book is on the table or the spoon is in the cup. | ||
Latest revision as of 10:08, 4 October 2021
| Title | Deep Networks for Semantic Scene Understanding |
|---|---|
| Summary | The candidate will implement a neural network to detect spatial relations between objects in the scene. For instance, the book is on the table or the spoon is in the cup. |
| Keywords | |
| TimeFrame | |
| References | |
| Prerequisites | Deep Neural Networks |
| Author | |
| Supervisor | Eren Erdal Aksoy |
| Level | Master |
| Status | Open |
The main research question is how to detect 2D and/or 3D spatial relations (on, above, inside) between objects in the scene.
The candidate will implement a neural network to detect spatial relations between objects in the scene. For instance, the book is on the table or the spoon is in the cup.
