MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for action segmentation using sensor-augmented kinematics.
Adam GoldbraikhOmer ShubiOr RubinCarla M. PughShlomi LauferPublished in: Pattern Recognit. (2024)
Keyphrases
- multistage
- recurrent networks
- recurrent neural networks
- stochastic programming
- image segmentation
- production system
- level set
- single stage
- dynamic programming
- segmentation algorithm
- lot sizing
- temporal segmentation
- multiscale
- spatio temporal
- biologically inspired
- segmentation method
- sensor networks
- stochastic optimization
- lot streaming
- temporal constraints
- feed forward
- optimal policy
- temporal information
- medical images
- machine learning
- assembly systems
- neural network
- sensor data