26 citations · 50 across the 4 of their papers we have counts for
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cs.CV2022
Activating the Discriminability of Novel Classes for Few-shot Segmentation
Dianwen Mei, Wei Zhuo, Jiandong Tian +2
Despite the remarkable success of existing methods for few-shot segmentation, there remain two crucial challenges. First, the feature learning for novel classes is suppressed durin…
cs.CV2022★ 11 cited
Fully Self-Supervised Learning for Semantic Segmentation
Yuan Wang, Wei Zhuo, Yucong Li +3
In this work, we present a fully self-supervised framework for semantic segmentation(FS^4). A fully bootstrapped strategy for semantic segmentation, which saves efforts for the hug…
cs.CV2021★ 13 cited
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
Zejian Chen, Wei Zhuo, Tianfu Wang +2
In this work, we propose a novel straightforward method for medical volume and sequence segmentation with limited annotations. To avert laborious annotating, the recent success of…