How Semantic Segmentation works part2(Machine Learning)
1. Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation(arXiv) Author : Zicheng Wang, Zhen Zhao, Luping Zhou, Dong Xu, Xiaoxia Xing, Xiangyu Kong Abstract : Semi-supervised semantic segmentation has recently gained increasing research interest as it can reduce the requirement for large-scale fully-annotated training data by effectively exploiting large amounts of…
How Semantic Segmentation works part2(Machine Learning) 1. Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation(arXiv) Author : Zicheng Wang, Zhen Zhao, Luping Zhou, Dong Xu, Xiaoxia Xing, Xiangyu Kong Abstract : Semi-supervised semantic segmentation has recently gained increasing research interest as it can reduce the requirement for large-scale fully-annotated training data by effectively exploiting large amounts of… deep-learning
Semantic Segmentation work part2Machine Learning 1 ConflictBased CrossView Consistency SemiSupervised Semantic SegmentationarXiv Author Zicheng Wang Zhen Zhao Luping Zhou Dong Xu Xiaoxia Xing Xiangyu Kong Abstract Semisupervised semantic segmentation recently gained increasing research interest reduce requirement largescale fullyannotated training data effectively exploiting large amount of… deeplearning