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Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space.

W. Shao, X. Zhao, Y. Ge, Z. Zhang, L. Yang, X. Wang, Y. Shan, и P. Luo. ECCV (34), том 13694 из Lecture Notes in Computer Science, стр. 286-302. Springer, (2022)

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Yixiao Yun

Junbo Ge

Wancheng Ge

Naixu Ge

Ge Yang

Другие публикации лиц с тем же именем

Learning Transferable Spatiotemporal Representations from Natural Script Knowledge.Z. Zeng, Y. Ge, X. Liu, B. Chen, P. Luo, S. Xia, и Y. Ge. CVPR, стр. 23079-23089. IEEE, (2023)SEED-Bench-2: Benchmarking Multimodal Large Language Models.B. Li, Y. Ge, Y. Ge, G. Wang, R. Wang, R. Zhang, и Y. Shan. CoRR, (2023)Structured Domain Adaptation for Unsupervised Person Re-identification.Y. Ge, F. Zhu, R. Zhao, и H. Li. CoRR, (2020)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, и Y. Shan. ICLR, OpenReview.net, (2022)Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.Y. Ge, D. Chen, и H. Li. ICLR, OpenReview.net, (2020)SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension.B. Li, Y. Ge, Y. Chen, Y. Ge, R. Zhang, и Y. Shan. CoRR, (2024)Modeling Uncertain Feature Representation for Domain Generalization.X. Li, Z. Hu, J. Liu, Y. Ge, Y. Dai, и L. Duan. CoRR, (2023)Revitalize Region Feature for Democratizing Video-Language Pre-training.G. Cai, Y. Ge, A. Wang, R. Yan, X. Lin, Y. Shan, L. He, X. Qie, J. Wu, и M. Shou. CoRR, (2022)VoCo-LLaMA: Towards Vision Compression with Large Language Models.X. Ye, Y. Gan, X. Huang, Y. Ge, Y. Shan, и Y. Tang. CoRR, (2024)π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation.C. Wu, T. Wang, Y. Ge, Z. Lu, R. Zhou, Y. Shan, и P. Luo. ICML, том 202 из Proceedings of Machine Learning Research, стр. 37713-37727. PMLR, (2023)

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