A Mutually Supervised Graph Attention Network for Few-Shot Segmentation: The Perspective of Fully Utilizing Limited Samples.
Honghao GaoJunsheng XiaoYuyu YinTong LiuJiangang ShiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- fully connected
- peer to peer
- complex networks
- machine learning
- training set
- graph theory
- graphical representation
- directed graph
- network traffic
- random walk
- weighted graph
- spanning tree
- graph representation
- supervised learning
- scale free
- learning algorithm
- small world
- clustering coefficient
- network size
- neural network
- directed acyclic graph
- network model
- graph structure
- graph matching
- computer networks
- network structure
- semi supervised
- wireless sensor networks
- viewpoint
- feature selection