Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation S Lee, M Lee, J Lee, H Shim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 218 | 2021 |
Threshold matters in wsss: Manipulating the activation for the robust and accurate segmentation model against thresholds M Lee, D Kim, H Shim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 55 | 2022 |
Psynet: Self-supervised approach to object localization using point symmetric transformation K Baek, M Lee, H Shim Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10451 …, 2020 | 38 | 2020 |
Saliency as pseudo-pixel supervision for weakly and semi-supervised semantic segmentation M Lee, S Lee, J Lee, H Shim IEEE transactions on pattern analysis and machine intelligence, 2023 | 6 | 2023 |
HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations S Kang, M Lee, M Kim, H Shim IEEE Access 11, 26125-26135, 2023 | 6 | 2023 |
Forging Tokens for Improved Storage-efficient Training M Lee, S Park, B Heo, D Han, H Shim arXiv preprint arXiv:2312.10105, 2023 | | 2023 |
Weakly supervised semantic segmentation device and method based on pseudo-masks S Hyunjung, S Lee, LEE Minhyun US Patent 11,798,171, 2023 | | 2023 |