| Rtmdet: An empirical study of designing real-time object detectors C Lyu, W Zhang, H Huang, Y Zhou, Y Wang, Y Liu, S Zhang, K Chen arXiv preprint arXiv:2212.07784, 2022 | 182 | 2022 |
| Mmrotate: A rotated object detection benchmark using pytorch Y Zhou, X Yang, G Zhang, J Wang, Y Liu, L Hou, X Jiang, X Liu, J Yan, ... Proceedings of the 30th ACM International Conference on Multimedia, 7331-7334, 2022 | 182 | 2022 |
| Multimodal-gpt: A vision and language model for dialogue with humans T Gong, C Lyu, S Zhang, Y Wang, M Zheng, Q Zhao, K Liu, W Zhang, ... arXiv preprint arXiv:2305.04790, 2023 | 157 | 2023 |
| Internlm: A multilingual language model with progressively enhanced capabilities ILM Team 2023-01-06)[2023-09-27]. https://github. com/InternLM/InternLM, 2023 | 131 | 2023 |
| Generalized focal loss: Towards efficient representation learning for dense object detection X Li, C Lv, W Wang, G Li, L Yang, J Yang IEEE transactions on pattern analysis and machine intelligence 45 (3), 3139-3153, 2022 | 74 | 2022 |
| Dense distinct query for end-to-end object detection S Zhang, X Wang, J Wang, J Pang, C Lyu, W Zhang, P Luo, K Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 54 | 2023 |
| Rtmpose: Real-time multi-person pose estimation based on mmpose T Jiang, P Lu, L Zhang, N Ma, R Han, C Lyu, Y Li, K Chen arXiv preprint arXiv:2303.07399, 2023 | 51 | 2023 |
| Consistent-teacher: Towards reducing inconsistent pseudo-targets in semi-supervised object detection X Wang, X Yang, S Zhang, Y Li, L Feng, S Fang, C Lyu, K Chen, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| Nanodet-plus: Super fast and high accuracy lightweight anchor-free object detection model R Lyu URL: https://github. com/RangiLyu/nanodet, 2021 | 25 | 2021 |
| Internlm2 technical report Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ... arXiv preprint arXiv:2403.17297, 2024 | 22 | 2024 |
| Consistent targets provide better supervision in semi-supervised object detection X Wang, X Yang, S Zhang, Y Li, L Feng, S Fang, C Lyu, K Chen, W Zhang | 6 | 2022 |
| RTMDet: An empirical study of designing real-time object detectors,(2022) C Lyu, W Zhang, H Huang, Y Zhou, Y Wang, Y Liu, S Zhang, K Chen arXiv preprint arXiv:2212.07784, 0 | 6 | |
| Fake Alignment: Are LLMs Really Aligned Well? Y Wang, Y Teng, K Huang, C Lyu, S Zhang, W Zhang, X Ma, Y Wang arXiv preprint arXiv:2311.05915, 2023 | 3 | 2023 |
| MMEngine: OpenMMLab Foundational Library for Training Deep Learning Models MME Contributors | 3 | 2022 |
| ANAH: Analytical Annotation of Hallucinations in Large Language Models Z Ji, Y Gu, W Zhang, C Lyu, D Lin, K Chen arXiv preprint arXiv:2405.20315, 2024 | | 2024 |
| AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data Z Song, Y Wang, W Zhang, K Liu, C Lyu, D Song, Q Guo, H Yan, D Lin, ... arXiv preprint arXiv:2405.19265, 2024 | | 2024 |
| RTMPose: Real-Time Models for Multi-Person Pose Estimation T Jiang, P Lu, L Zhang, N Ma, H Lyu, C Lyu, Y Li, K Chen | | 2023 |
| Dense Distinct Query for End-to-End Object Detection (Supplementary Material) S Zhang, X Wang, J Wang, J Pang, C Lyu, W Zhang, P Luo, K Chen | | |
