Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation

no code implementations • 27 May 2021 • Jinxi Xiang, Zhuowei Li, Wenji Wang, Qing Xia, Shaoting Zhang

In this paper, we aim to boost the performance of semi-supervised learning for medical image segmentation with limited labels using a self-ensembling contrastive learning technique.

Contrastive Learning Decoder +4

An Empirical Study of Propagation-based Methods for Video Object Segmentation

no code implementations • 30 Jul 2019 • Hengkai Guo, Wenji Wang, Guanjun Guo, Huaxia Li, Jiachen Liu, Qian He, Xuefeng Xiao

While propagation-based approaches have achieved state-of-the-art performance for video object segmentation, the literature lacks a fair comparison of different methods using the same settings.

Object Semantic Segmentation +2