CRNet : cross-reference networks for few-shot segmentation

• Main Authors: Liu, Weide, Zhang, Chi, Lin, Guosheng, Liu, Fayao
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Image Segmentation; Predictive Models
• Online Access: https://hdl.handle.net/10356/144247
• Institution: 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...