Name
Abstract | ||
|---|---|---|
Underwater object detection for robot picking has attracted a lot of interest. However, it is still an unsolved problem due to several challenges. We take steps towards making it more realistic by addressing the following challenges. Firstly, the currently available datasets basically lack the test set annotations, causing researchers must compare their method with other SOTAs on a self-divided te... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICMEW53276.2021.9455997 | 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) |
Keywords | DocType | ISSN |
Training,Annotations,Service robots,Conferences,Object detection,Detectors,Benchmark testing | Conference | 2330-7927 |
ISBN | Citations | PageRank |
978-1-6654-4989-2 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chongwei Liu | 1 | 0 | 0.68 |
| Haojie Li | 2 | 32 | 9.03 |
| Shuchang Wang | 3 | 0 | 0.34 |
| Ming Zhu | 4 | 9 | 1.15 |
| Dong Wang | 5 | 326 | 14.06 |
| Xin Fan | 6 | 42 | 12.48 |
| Zhihui Wang | 7 | 0 | 0.34 |