1 citations · 3 across the 6 of their papers we have counts for
6 papers
Focusing Image Generation to Mitigate Spurious Correlations
Xuewei Li, Zhenzhen Nie, Mei Yu +4
Instance features in images exhibit spurious correlations with background features, affecting the training process of deep neural classifiers. This leads to insufficient attention…
CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
Ruiguo Yu, Yiyang Zhang, Yuan Tian +3
Deep learning-based segmentation methods are widely utilized for detecting lesions in ultrasound images. Throughout the imaging procedure, the attenuation and scattering of ultraso…
Windformer:Bi-Directional Long-Distance Spatio-Temporal Network For Wind Speed Prediction
Xuewei Li, Zewen Shang, Zhiqiang Liu +3
Wind speed prediction is critical to the management of wind power generation. Due to the large range of wind speed fluctuations and wake effect, there may also be strong correlatio…
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration
Xuewei Li, Yaqiao Zhu, Jie Gao +4
Segmentation of nodules in thyroid ultrasound imaging plays a crucial role in the detection and treatment of thyroid cancer. However, owing to the diversity of scanner vendors and…
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels
Xuewei Li, Weilun Zhang, Jie Gao +2
Unsupervised domain adaptation(UDA) has been applied to image semantic segmentation to solve the problem of domain offset. However, in some difficult categories with poor recogniti…
Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space
Ruiguo Yu, Zhiqiang Liu, Xuewei Li +4
Wind power prediction is of vital importance in wind power utilization. There have been a lot of researches based on the time series of the wind power or speed, but In fact, these…