1 code implementation • 5 Feb 2024 • Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu
Foundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems.
1 code implementation • CVPR 2021 • Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun
We interpolate training samples at the feature level and propose a novel content loss based on the perceptual relations among samples.
no code implementations • 26 Oct 2020 • Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He
We propose a refinement stage for the pyramid features to further boost the accuracy of our network.
no code implementations • 17 Mar 2020 • Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye
At last, we proposed a differentiable auto data augmentation method to further improve estimation accuracy.