Guided Networks for Few-Shot Image Segmentation and Fully Connected CRFs

Guided Networks for Few-Shot Image Segmentation and Fully Connected CRFs

The goal of the few-shot learning method is to learn quickly from a low-data regime. Structured output tasks like segmentation are challenging for few-shot learning, due to their being high-dimensional and statistically dependent. For this problem, we propose improved guided networks and combine the...

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Bibliographic Details
Main Authors: Kun Zhang, Yuanjie Zheng, Xiaobo Deng, Weikuan Jia, Jian Lian, Xin Chen
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Electronics
Subjects:
few-shot learning
image segmentation
convolutional neural networks
conditional random fields
Online Access:https://www.mdpi.com/2079-9292/9/9/1508

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https://www.mdpi.com/2079-9292/9/9/1508

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