Towards Universal Backward-Compatible Representation Learning B Zhang, Y Ge, Y Shen, S Su, C Yuan, X Xu, Y Wang, Y Shan IJCAI-22 (oral) preprint arXiv:2203.01583, 2022 | 20 | 2022 |
Privacy-preserving model upgrades with bidirectional compatible training in image retrieval S Su, B Zhang, Y Ge, X Xu, Y Wang, C Yuan, Y Shan arXiv preprint arXiv:2204.13919, 2022 | 10 | 2022 |
Hot-refresh model upgrades with regression-free compatible training in image retrieval B Zhang, Y Ge, Y Shen, Y Li, C Yuan, X Xu, Y Wang, Y Shan International Conference on Learning Representations, 2021 | 10 | 2021 |
Hot-refresh model upgrades with regression-alleviating compatible training in image retrieval B Zhang, Y Ge, Y Shen, Y Li, C Yuan, X Xu, Y Wang, Y Shan arXiv preprint arXiv:2201.09724, 2022 | 8 | 2022 |
A simple yet effective method for video temporal grounding with cross-modality attention B Zhang, Y Li, C Yuan, D Xu, P Jiang, Y Shan arXiv preprint arXiv:2009.11232, 2020 | 8 | 2020 |
Taca: Upgrading your visual foundation model with task-agnostic compatible adapter B Zhang, Y Ge, X Xu, Y Shan, MZ Shou arXiv preprint arXiv:2306.12642, 2023 | 5 | 2023 |
Darwinian Model Upgrades: Model Evolving with Selective Compatibility B Zhang, S Su, Y Ge, X Xu, Y Wang, C Yuan, MZ Shou, Y Shan (AAAI 2023) arXiv preprint arXiv:2210.06954, 2022 | 2 | 2022 |
Revitalize region feature for democratizing video-language pre-training of retrieval G Cai, Y Ge, B Zhang, AJ Wang, R Yan, X Lin, Y Shan, L He, X Qie, J Wu, ... arXiv preprint arXiv:2203.07720, 2022 | 1 | 2022 |