1 citations · 2 across the 5 of their papers we have counts for
5 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…
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…
Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion
Jianrong Wang, Jinyu Liu, Li Liu +4
Acoustic-to-articulatory inversion (AAI) aims to estimate the parameters of articulators from speech audio. There are two common challenges in AAI, which are the limited data and t…
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…