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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
MSTRNN model aid
biblio
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Submitted by grigby1 on Mon, 10/05/2020 - 2:01pm
RGB input data
MSTRNN model aid
multiple spatio-temporal scales recurrent neural network model
multiple timescale recurrent dynamics
neural activities
pubcrawl
recurrent neural nets
recurrent neural network
Recurrent neural networks
learning (artificial intelligence)
spatio-temporal constraints
spatio-temporal information extraction
Spatiotemporal phenomena
symbol grounding
Training
visualization
visually perceived compositional human action recognition
different compositionality levels
Biological neural networks
Compositionality
conventional convolutional neural network model
convolution
Convolutional codes
convolutional neural network (CNN)
critical spatio-temporal information
deep learning model
action recognition
dynamic vision processing
feature extraction
feedforward neural nets
gesture recognition
human action datasets
image motion analysis
image representation
