Applications of graph convolutional networks in computer vision.
Pingping CaoZeqi ZhuZiyuan WangYanping ZhuQiang NiuPublished in: Neural Comput. Appl. (2022)
Keyphrases
- computer vision
- graph structures
- average degree
- pattern recognition
- highly connected
- fully connected
- pose estimation
- image processing
- object recognition
- graph theory
- dynamic networks
- structured data
- graph mining
- graph representation
- graph matching
- image understanding
- complex networks
- object detection
- network size
- edge weights
- clustering coefficient
- directed edges
- graph partitioning
- network architecture
- community detection
- neural network
- graph model
- graph structure
- social networks
- bipartite graph
- face recognition
- vision system
- signal processing
- optical flow
- machine learning
- social graphs
- betweenness centrality
- degree distribution
- citation networks
- random walk
- network structure
- deep learning
- path length
- computer vision algorithms
- graph theoretic
- weighted graph