1 code implementation • CVPR 2023 • Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan
Nonetheless, we find that the synthetic samples constructed in existing ZSQ methods can be easily fitted by models.
no code implementations • CVPR 2023 • Shuailei Ma, Yuefeng Wang, Jiaqi Fan, Ying WEI, Thomas H. Li, Hongli Liu, Fanbing Lv
Open-world object detection (OWOD), as a more general and challenging goal, requires the model trained from data on known objects to detect both known and unknown objects and incrementally learn to identify these unknown objects.
1 code implementation • 31 Oct 2022 • Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, Mingkui Tan
Then, we perform a local search within the evoked subspace to find an effective architecture.
Ranked #2 on Neural Architecture Search on NAS-Bench-201, ImageNet-16-120 (Accuracy (Val) metric)