Timeline for Add New Object Class in Deep Learning Network
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 8, 2016 at 13:06 | vote | accept | GoC | ||
| Mar 3, 2016 at 3:19 | comment | added | yasin.yazici | You can label your dataset by using the previous network. Then learn a new network( some weights can be shared) based on new labeled dataset. Then either rely on the new network or use both of them together via class based averaging. It is the second network that decide to pedestrians without any contribution of the first one. | |
| Mar 2, 2016 at 8:20 | comment | added | GoC | I've updated the question, in the new dataset, only the pedestrian class is labeled. Do you think it's theoretically possible to do it? | |
| Feb 19, 2016 at 10:54 | history | answered | yasin.yazici | CC BY-SA 3.0 |