1 code implementation • 28 Mar 2024 • Keyan Chen, Bowen Chen, Chenyang Liu, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
Remote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation.
no code implementations • 22 Jan 2024 • Zili Liu, Hao Chen, Lei Bai, Wenyuan Li, Keyan Chen, Zhengyi Wang, Wanli Ouyang, Zhengxia Zou, Zhenwei Shi
In this paper, we extend meteorological downscaling to arbitrary scattered station scales, establish a brand new benchmark and dataset, and retrieve meteorological states at any given station location from a coarse-resolution meteorological field.
no code implementations • 17 Jan 2024 • Zili Liu, Hao Chen, Wenyuan Li, Keyan Chen, Zipeng Qi, Chenyang Liu, Zhengxia Zou, Zhenwei Shi
This paper is the first to consider the impact of label noise on the detection of clouds and snow in remote sensing images.
1 code implementation • 4 Jan 2024 • Wenyuan Li, Zili Liu, Keyan Chen, Hao Chen, Shunlin Liang, Zhengxia Zou, Zhenwei Shi
Next, we construct hyper-networks based on deep learning methods to directly learn weather patterns from a large amount of meteorological data.
2 code implementations • 23 Dec 2023 • Keyan Chen, Chengyang Liu, Wenyuan Li, Zili Liu, Hao Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi
Change detection, a prominent research area in remote sensing, is pivotal in observing and analyzing surface transformations.
Ranked #6 on Change Detection on LEVIR-CD
1 code implementation • 28 Jun 2023 • Keyan Chen, Chenyang Liu, Hao Chen, Haotian Zhang, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
We also propose several ongoing derivatives for instance segmentation tasks, drawing on recent advancements within the SAM community, and compare their performance with RSPrompter.
1 code implementation • 16 Feb 2023 • Keyan Chen, Wenyuan Li, Sen Lei, Jianqi Chen, XiaoLong Jiang, Zhengxia Zou, Zhenwei Shi
Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate models.
1 code implementation • 27 May 2022 • Hao Chen, Wenyuan Li, Song Chen, Zhenwei Shi
To achieve this, we obtain multiple points via class-balanced sampling on the overlapped area between views using the semantic mask.
1 code implementation • 12 Jul 2021 • Wenyuan Li, Keyan Chen, Hao Chen, Zhenwei Shi
The proliferation of remote sensing satellites has resulted in a massive amount of remote sensing images.
1 code implementation • IEEE Transactions on Geoscience and Remote Sensing 2021 • Hao Chen, Wenyuan Li, Zhenwei Shi
The key of IAug is to blend synthesized building instances onto appropriate positions of one of the bitemporal images.
Ranked #34 on Building change detection for remote sensing images on LEVIR-CD (using extra training data)
Building change detection for remote sensing images Change Detection +1
no code implementations • 5 Nov 2020 • Jiayun Li, Wenyuan Li, Anthony Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold
Large numbers of histopathological images have been digitized into high resolution whole slide images, opening opportunities in developing computational image analysis tools to reduce pathologists' workload and potentially improve inter- and intra- observer agreement.
no code implementations • 9 May 2020 • Yunzhong He, Wenyuan Li, Liang-Wei Chen, Gabriel Forgues, Xunlong Gui, Sui Liang, Bo Hou
Rather, content is generated and shared among users and organized around their social relations on social networks.
no code implementations • 18 Oct 2019 • Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold
In this work, we investigate semi-supervised learning (SSL) for image classification using adversarial training.
no code implementations • 30 May 2019 • Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold
The model achieved state-of-the-art performance for prostate cancer grading with an accuracy of 85. 11\% for classifying benign, low-grade (Gleason grade 3+3 or 3+4), and high-grade (Gleason grade 4+3 or higher) slides on an independent test set.
no code implementations • 16 May 2019 • Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey Arnold
Recently, semi-supervised learning methods based on generative adversarial networks (GANs) have received much attention.
no code implementations • 3 Dec 2018 • Wenyuan Li, Yunlong Wang, Yong Cai, Corey Arnold, Emily Zhao, Yilian Yuan
Rare diseases affect a relatively small number of people, which limits investment in research for treatments and cures.
no code implementations • 13 Mar 2018 • Albert Lee, Bonnie Lam, Wenyuan Li, Hochul Lee, Wei-Hao Chen, Meng-Fan Chang, Kang. -L. Wang
In this paper, we propose a new scheme for modelling the diverse behavior of neurons.