Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation S Lee, M Lee, J Lee, H Shim Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 240 | 2021 |
Threshold matters in wsss: Manipulating the activation for the robust and accurate segmentation model against thresholds M Lee, D Kim, H Shim Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 64 | 2022 |
Psynet: Self-supervised approach to object localization using point symmetric transformation K Baek, M Lee, H Shim AAAI Conference on Artificial Intelligence, 2020 | 39 | 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 (PAMI), 2023 | 8 | 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 | 5 | 2023 |
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation J Choi, S Lee, S Lee, M Lee, H Shim arXiv preprint arXiv:2406.11384, 2024 | | 2024 |
SeiT++: Masked Token Modeling Improves Storage-efficient Training M Lee, S Park, B Heo, D Han, H Shim European Conference on Computer Vision (ECCV), 2024 | | 2024 |
Weakly supervised semantic segmentation device and method based on pseudo-masks S Hyunjung, S Lee, LEE Minhyun US Patent 11,798,171, 2023 | | 2023 |