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Shaozuo Yu
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2020 – today
- 2024
- [j3]Jingyao Li
, Pengguang Chen
BAL: Balancing Diversity and Novelty for Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3653-3664 (2024) - [j2]Jingyao Li
MOODv2: Masked Image Modeling for Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8994-9003 (2024) - [j1]Bingchen Zhao
OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11104-11118 (2024) - [i9]Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
MOODv2: Masked Image Modeling for Out-of-Distribution Detection. CoRR abs/2401.02611 (2024) - 2023
- [c4]Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia:
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CVPR 2023: 11578-11589 - [i8]Jingyao Li, Pengguang Chen, Shaozuo Yu, Zexin He, Shu Liu, Jiaya Jia:
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CoRR abs/2302.02615 (2023) - [i7]Bingchen Zhao, Jiahao Wang, Wufei Ma, Artur Jesslen, Siwei Yang, Shaozuo Yu, Oliver Zendel, Christian Theobalt
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. CoRR abs/2304.10266 (2023) - [i6]Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia:
BAL: Balancing Diversity and Novelty for Active Learning. CoRR abs/2312.15944 (2023) - 2022
- [c3]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. ECCV (8) 2022: 163-180 - 2021
- [i5]Yilin Wang, Shaozuo Yu, Xiaokang Yang, Wei Shen:
Making CNNs Interpretable by Building Dynamic Sequential Decision Forests with Top-down Hierarchy Learning. CoRR abs/2106.02824 (2021) - [i4]Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang:
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization. CoRR abs/2106.03088 (2021) - [i3]Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao:
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection. CoRR abs/2106.14366 (2021) - [i2]Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan L. Yuille, Adam Kortylewski:
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. CoRR abs/2111.14341 (2021) - 2020
- [c2]Siwei Yang, Shaozuo Yu, Bingchen Zhao, Yin Wang:
Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization. CVPR Workshops 2020: 206-211 - [c1]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [i1]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020)
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