Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts.
Erik DaxbergerFloris WeersBowen ZhangTom GunterRuoming PangMarcin EichnerMichael EmmersbergerYinfei YangAlexander ToshevXianzhi DuPublished in: CoRR (2023)
Keyphrases
- m learning
- mobile learning
- mobile applications
- mobile phone
- context aware
- mobile devices
- mobile technologies
- computer vision
- vision system
- real time
- sparse data
- random projections
- visual perception
- compressed sensing
- compressive sensing
- mixture model
- handheld devices
- gaussian distribution
- mobile services
- expert finding
- sparse matrix
- gaussian mixture model
- model selection
- hidden markov models
- bayesian networks
- image segmentation
- image processing