| Multi-scale metric learning for few-shot learning W Jiang, K Huang, J Geng, X Deng IEEE Transactions on Circuits and Systems for Video Technology 31 (3), 1091-1102, 2020 | 210 | 2020 |
| Pseudo-loss confidence metric for semi-supervised few-shot learning K Huang, J Geng, W Jiang, X Deng, Z Xu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 46 | 2021 |
| IDLN: Iterative distribution learning network for few-shot remote sensing image scene classification Q Zeng, J Geng, W Jiang, K Huang, Z Wang IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 29 | 2021 |
| Prototype calibration with feature generation for few-shot remote sensing image scene classification Q Zeng, J Geng, K Huang, W Jiang, J Guo Remote Sensing 13 (14), 2728, 2021 | 25 | 2021 |
| An improved evidential DEMATEL identify critical success factors under uncertain environment X Shang, M Song, K Huang, W Jiang Journal of Ambient Intelligence and Humanized Computing 11, 3659-3669, 2020 | 12 | 2020 |
| Self-attention and mutual-attention for few-shot hyperspectral image classification K Huang, X Deng, J Geng, W Jiang 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2230 …, 2021 | 9 | 2021 |
| Prototypical kernel learning and open-set foreground perception for generalized few-shot semantic segmentation K Huang, F Wang, Y Xi, Y Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| A joint framework towards class-aware and class-agnostic alignment for few-shot segmentation K Huang, M Cheng, Y Wang, B Wang, Y Xi, F Wang, P Chen Proceedings of the Asian Conference on Computer Vision, 1471-1487, 2022 | 1 | 2022 |
| Multi-Level Relation Learning with Confidence Evaluation for Few-Shot Learning Q Zeng, J Geng, K Huang, W Jiang 2021 33rd Chinese Control and Decision Conference (CCDC), 1608-1612, 2021 | 1 | 2021 |
