Accurate few-shot object detection with support-query mutual guidance and hybrid loss L Zhang, S Zhou, J Guan, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 47 | 2021 |
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery--A Focus on Affinity Prediction Problems with Noise Annotations Y Ji, L Zhang, J Wu, B Wu, LK Huang, T Xu, Y Rong, L Li, J Ren, D Xue, ... arXiv preprint arXiv:2201.09637, 2022 | 46 | 2022 |
Weakly-supervised text classification based on keyword graph L Zhang, J Ding, Y Xu, Y Liu, S Zhou arXiv preprint arXiv:2110.02591, 2021 | 38 | 2021 |
Dp-ssl: Towards robust semi-supervised learning with a few labeled samples Y Xu, J Ding, L Zhang, S Zhou Advances in Neural Information Processing Systems 34, 15895-15907, 2021 | 22 | 2021 |
Learning latent semantic attributes for zero-shot object detection K Wang, L Zhang, Y Tan, J Zhao, S Zhou 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 8 | 2020 |
An empirical study and comparison of recent few-shot object detection algorithms T Liu, L Zhang, Y Wang, J Guan, Y Fu, S Zhou arXiv e-prints, arXiv: 2203.14205, 2022 | 6 | 2022 |
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method L Zhang, Y Wang, J Zhou, C Zhang, Y Zhang, J Guan, Y Bian, S Zhou Proceedings of the 30th ACM International Conference on Multimedia, 2002-2011, 2022 | 5 | 2022 |
A high-efficiency data collection method based on maximum recharging benefit in sensor networks C Sha, QW Wang, L Zhang, RC Wang Sensors 18 (9), 2887, 2018 | 5 | 2018 |
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification M Zhao, L Zhang, Y Xu, J Ding, J Guan, S Zhou arXiv preprint arXiv:2204.11205, 2022 | 4 | 2022 |
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison T Liu, L Zhang, Y Wang, J Guan, Y Fu, J Zhao, S Zhou ACM Transactions on Intelligent Systems and Technology 14 (4), 1-36, 2023 | 2 | 2023 |
Meta-ZSDETR: Zero-shot DETR with Meta-learning L Zhang, C Zhang, J Zhao, J Guan, S Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |