Name
Title | ||
|---|---|---|
Recognizing novel patterns via adversarial learning for one-shot semantic segmentation. |
Abstract | ||
|---|---|---|
•Adversarial learning method is proposed for one-shot semantic segmentation.•Segmentation network can learn patterns of novel classes with only one annotation.•A discriminator differentiating the predicted map from the ground truth is designed.•We achieved the cross-validate mIoU of 49.7% on the PASCAL VOC 2012 dataset. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2020.01.016 | Information Sciences |
Keywords | Field | DocType |
Semantic segmentation,One-shot learning,Adversarial learning,Generative adversarial networks | Discriminator,Convolutional neural network,Trustworthiness,Segmentation,One shot,Ground truth,Artificial intelligence,Pixel,Machine learning,Mathematics,Adversarial system | Journal |
Volume | ISSN | Citations |
518 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangchao Yang | 1 | 0 | 0.34 |
| Dongmei Niu | 2 | 2 | 6.44 |
| Caiming Zhang | 3 | 446 | 88.19 |
| Xiuyang Zhao | 4 | 73 | 13.60 |