2 papers
cs.RO2021
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Ioanna Mitsioni, Joonatan Mänttäri, Yiannis Karayiannidis +2
Deep Neural Networks (NNs) have been widely utilized in contact-rich manipulation tasks to model the complicated contact dynamics. However, NN-based models are often difficult to d…
cs.CV2020
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks
Joonatan Mänttäri, Sofia Broomé, John Folkesson +1
A number of techniques for interpretability have been presented for deep learning in computer vision, typically with the goal of understanding what the networks have based their cl…