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Interpretability in Contact-Rich Manipulation via Kinodynamic Images
In this work, we address the interpretability of NN-based models by introducing the kinodynamic images.
Robotics
Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks
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 classification on.
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