Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network.
Sanket KacholeYusra AlkendiFariborz Baghaei NaeiniDimitrios MakrisYahya H. ZweiriPublished in: CVPR Workshops (2023)
Keyphrases
- neural network
- image segmentation
- min cut max flow
- level set
- segmentation algorithm
- graph theory
- segmentation method
- medical images
- event detection
- graph representation
- graph structure
- connected components
- fully automatic
- random walk
- image analysis
- artificial neural networks
- pattern recognition
- back propagation
- structured data
- multiscale
- self organizing maps
- semi supervised
- human activities
- fuzzy logic
- neural network model
- normalized cut
- temporal patterns
- genetic algorithm
- graph mining
- graph model
- graph partitioning
- neural network is trained
- directed acyclic graph
- weighted graph
- object segmentation
- shape prior
- region growing
- recurrent neural networks
- radial basis function
- edge detection