Name
Abstract | ||
|---|---|---|
This paper focus on efficient learning of new objects by robots, at both instance level and class level. Despite the great achievements in deep learning, new objects are not well handled due to the big data dependency and the closed set assumption, which are not satisfied in many applications. For example, in service robots, the desired objects vary among customers and environments, and it is hard... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/M2VIP49856.2021.9665036 | 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) |
DocType | ISBN | Citations |
Conference | 978-1-6654-3153-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Guo | 1 | 7 | 5.61 |
| Zhigang Wang | 2 | 6 | 3.41 |
| Hua Yang | 3 | 16 | 8.81 |
| Xuesong Shi | 4 | 0 | 0.68 |
| Yimin Zhang | 5 | 1536 | 130.17 |