| Hypercorrelation squeeze for few-shot segmentation J Min, D Kang, M Cho Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2021 | 324 | 2021 |
| Relational embedding for few-shot classification D Kang, H Kwon, J Min, M Cho Proceedings of the IEEE/CVF International Conference on Computer Vision
, 2021 | 230 | 2021 |
| Integrative Few-Shot Learning for Classification and Segmentation D Kang, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2022 | 77 | 2022 |
| Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation J Yoon, D Kang, M Cho Proceedings of the IEEE/CVF Winter Conference on Applications of Computer
, 2022 | 44 | 2022 |
| Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation D Kang, P Koniusz, M Cho, N Murray Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2023 | 26 | 2023 |
| Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval D Jung, D Kang, S Kwak, M Cho Proceedings of the Asian Conference on Computer Vision, 1875-1891, 2022 | 8 | 2022 |
| Contrastive Mean-Shift Learning for Generalized Category Discovery S Choi, D Kang, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2024 | 4 | 2024 |
| In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation D Kang, M Cho arXiv preprint arXiv:2408.04961, 2024 | | 2024 |
