1 code implementation • CVPR 2023 • Jingyao Li, Pengguang Chen, Shaozuo Yu, Zexin He, Shu Liu, Jiaya Jia
The core of out-of-distribution (OOD) detection is to learn the in-distribution (ID) representation, which is distinguishable from OOD samples.
Ranked #12 on Out-of-Distribution Detection on ImageNet-1k vs Places (AUROC metric)
1 code implementation • CVPR 2023 • Yuechen Zhang, Zexin He, Jinbo Xing, Xufeng Yao, Jiaya Jia
We propose a ray registration process based on the stylized reference view to obtain pseudo-ray supervision in novel views.
2 code implementations • 15 Mar 2022 • Yuanhan Zhang, Qinghong Sun, Yichun Zhou, Zexin He, Zhenfei Yin, Kun Wang, Lu Sheng, Yu Qiao, Jing Shao, Ziwei Liu
This work thus proposes a novel active learning framework for realistic dataset annotation.
Ranked #1 on Image Classification on Food-101 (using extra training data)