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Rethinking Feature Distribution for Loss Functions in Image Classification.

W. Wan, Y. Zhong, T. Li, и J. Chen. CVPR, стр. 9117-9126. Computer Vision Foundation / IEEE Computer Society, (2018)

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Weimin Zhong

Gang Zhong

Lianmin Zhong

Yanlin Zhong

Yang Zhong

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Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning.Y. Liu, Y. Luo, Y. Zhong, X. Chen, Q. Liu, и J. Peng. CoRR, (2019)Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study.Y. Zhong, H. Tang, J. Chen, и Y. Wang. ICCV, стр. 16281-16290. IEEE, (2023)DAP: Detection-Aware Pre-Training With Weak Supervision.Y. Zhong, J. Wang, L. Wang, J. Peng, Y. Wang, и L. Zhang. CVPR, стр. 4537-4546. Computer Vision Foundation / IEEE, (2021)Anchor Box Optimization for Object Detection.Y. Zhong, J. Wang, J. Peng, и L. Zhang. WACV, стр. 1275-1283. IEEE, (2020)StructInf: Mining Structural Influence from Social Streams.J. Zhang, J. Tang, Y. Zhong, Y. Mo, J. Li, G. Song, W. Hall, и J. Sun. AAAI, стр. 73-80. AAAI Press, (2017)Shaping Deep Feature Space Towards Gaussian Mixture for Visual Classification.W. Wan, C. Yu, J. Chen, T. Wu, Y. Zhong, и M. Yang. IEEE Trans. Pattern Anal. Mach. Intell., 45 (2): 2430-2444 (2023)Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification.W. Wan, J. Chen, C. Yu, T. Wu, Y. Zhong, и M. Yang. CoRR, (2020)Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation.Y. Zhong, B. Yuan, H. Wu, Z. Yuan, J. Peng, и Y. Wang. ICCV, стр. 7253-7262. IEEE, (2021)Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors.Y. Zhong, A. Bhattad, Y. Wang, и D. Forsyth. ICCV, стр. 21718-21728. IEEE, (2023)Rethinking Feature Distribution for Loss Functions in Image Classification.W. Wan, Y. Zhong, T. Li, и J. Chen. CVPR, стр. 9117-9126. Computer Vision Foundation / IEEE Computer Society, (2018)

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