Learning Hierarchical Graph Neural Networks for Image Clustering.
Yifan XingTong HeTianjun XiaoYongxin WangYuanjun XiongWei XiaDavid WipfZheng ZhangStefano SoattoPublished in: ICCV (2021)
Keyphrases
- neural network
- learning process
- image segmentation
- multiscale
- graph theoretic
- image data
- single image
- image retrieval
- learning algorithm
- unsupervised learning
- random walk
- image classification
- image features
- image analysis
- image content
- inexact graph matching
- pixel level
- neural nets
- image representation
- pattern recognition
- input image
- supervised learning
- preprocessing stage
- reinforcement learning
- learning rules
- test images
- high resolution
- hierarchical clustering
- active learning
- graph model
- directed acyclic graph
- graph matching
- learning tasks
- low level
- segmentation method
- clustering method
- segmentation algorithm
- edge detection
- artificial neural networks