CRNet : cross-reference networks for few-shot segmentation

• Main Authors: Liu, Weide, Zhang, Chi, Lin, Guosheng, Liu, Fayao
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2020
• 主題: Engineering::Computer science and engineering; Image Segmentation; Predictive Models
• 在線閱讀: https://hdl.handle.net/10356/144247
• 機構: Nanyang Technological University

Over the past few years, state-of-the-art image segmentation algorithms are based on deep convolutional neural networks. To render a deep network with the ability to understand a concept, humans need to collect a large amount of pixel-level annotated data to train the models, which is time-consuming...