11 citations · 11 across the 2 of their papers we have counts for
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cs.CV2026
A Semi-Supervised Framework for Breast Ultrasound Segmentation with Training-Free Pseudo-Label Generation and Label Refinement
Ruili Li, Jiayi Ding, Ruiyu Li +7
Semi-supervised learning (SSL) has emerged as a promising paradigm for breast ultrasound (BUS) image segmentation, but it often suffers from unstable pseudo labels under extremely…
cs.CV2020★ 11 cited
Tensor Low-Rank Reconstruction for Semantic Segmentation
Wanli Chen, Xinge Zhu, Ruoqi Sun +4
Context information plays an indispensable role in the success of semantic segmentation. Recently, non-local self-attention based methods are proved to be effective for context inf…