CRNet : cross-reference networks for few-shot segmentation

• المؤلفون الرئيسيون: Liu, Weide, Zhang, Chi, Lin, Guosheng, Liu, Fayao
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Image Segmentation; Predictive Models
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/144247

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...