Name
Abstract | ||
|---|---|---|
Recent years have witnessed meaningful progress in the task of few-shot object detection. However, most of the existing models are not capable of incremental learning with a few samples, i.e., the detector can’t detect novel-class objects by using only a few samples of novel classes (without revisiting the original training samples) while maintaining the performances on base classes. This i... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3088545 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Object detection,Feature extraction,Detectors,Adaptation models,Training,Task analysis,Data models | Journal | 32 |
Issue | ISSN | Citations |
4 | 1051-8215 | 2 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng Cheng | 1 | 44 | 7.01 |
| Hanli Wang | 2 | 865 | 69.10 |
| Yu Long | 3 | 2 | 1.04 |