4 citations · 5 across the 3 of their papers we have counts for
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cs.CV2021★ 4 cited
Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
Runnan Chen, Yuexin Ma, Lingjie Liu +4
Well-annotated medical images are costly and sometimes even impossible to acquire, hindering landmark detection accuracy to some extent. Semi-supervised learning alleviates the rel…
cs.CV2018
Attending Category Disentangled Global Context for Image Classification
Keke Tang, Guodong Wei, Runnan Chen +3
In this paper, we propose a general framework for image classification using the attention mechanism and global context, which could incorporate with various network architectures…