no code implementations • 16 Sep 2023 • Yuelei Wang, Ting Zhang, Liangjin Zhao, Lin Hu, Zhechao Wang, Ziqing Niu, Peirui Cheng, Kaiqiang Chen, Xuan Zeng, Zhirui Wang, Hongqi Wang, Xian Sun
It is combined by the Transformer module as a low-pass filter to extract global features of RS images through a dual-branch structure, and the CNN module as a stacked high-pass filter to extract fine-grained details effectively.
no code implementations • 5 Sep 2023 • Zhechao Wang, Peirui Cheng, Shujing Duan, Kaiqiang Chen, Zhirui Wang, Xinming Li, Xian Sun
Onboard intelligent processing is widely applied in emergency tasks in the field of remote sensing.
no code implementations • 11 Jan 2023 • Yongqiang Mao, Kaiqiang Chen, Liangjin Zhao, Wei Chen, Deke Tang, Wenjie Liu, Zhirui Wang, Wenhui Diao, Xian Sun, Kun fu
Our Building3D is rooted in the SFFDE network for building elevation prediction, synchronized with a building extraction network for building masks, and then sequentially performs point cloud reconstruction, surface reconstruction (or CityGML model reconstruction).
no code implementations • 23 Nov 2022 • Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
To model the complex nonlinearity in predicting molecular properties in an more end-to-end approach, we propose to encode the positional quantities with a learnable embedding that is continuous and differentiable.
no code implementations • 23 Nov 2022 • Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
Experiments show that, compared to training from scratch, fine-tuning the pretrained model can significantly improve the performance for seven molecular property prediction tasks and two force field tasks.
no code implementations • 19 Nov 2021 • Zhirui Wang, Yifei Wang, Yisen Wang
Adversarial training is widely believed to be a reliable approach to improve model robustness against adversarial attack.
1 code implementation • 13 Nov 2021 • Hanwen Xu, Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Manoj Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang
In the expansion of biomedical dataset, the same category may be labeled with different terms, thus being tedious and onerous to curate these terms.
no code implementations • IEEE Transactions on Geoscience and Remote Sensing 2021 • Bing Wang, Zhirui Wang, Xian Sun, Hongqi Wang, Kun fu
After metatraining, DMML-Net can be applied for the few-shot segmentation tasks of novel geographic objects with only a few gradient steps on the small training set.
no code implementations • 29 Sep 2021 • Zhirui Wang, Yifei Wang, Yisen Wang
Adversarial training is widely believed to be a reliable approach to improve model robustness against adversarial attack.