Integrating Feedforward Design into a Generative Network to Synthesize Supplementary Training Data for Object Classification.
Isabelle KuhlmannViktor SeibDietrich PaulusPublished in: ICARSC (2021)
Keyphrases
- object classification
- feed forward
- training data
- object recognition
- artificial neural networks
- back propagation
- recurrent networks
- object detection
- decision trees
- supervised learning
- feature hierarchies
- neural network
- image understanding
- training samples
- multi modal
- small number
- ground truth
- feature space
- learning algorithm