Výsledky vyhledávání - "Mänttäri, Joonatan"

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Interpretability in Contact-Rich Manipulation via Kinodynamic Images

Autor: Mitsioni, Ioanna, Mänttäri, Joonatan, Karayiannidis, Yiannis, Folkesson, John, Kragic, Danica

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 decipher which can lead to seemingly inexplicable behaviors and unident

Externí odkaz: http://arxiv.org/abs/2102.11825

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Interpreting video features: a comparison of 3D convolutional networks and convolutional LSTM networks

Autor: Mänttäri, Joonatan, Broomé, Sofia, Folkesson, John, Kjellström, Hedvig

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. However, interpretability for deep video architecture

Externí odkaz: http://arxiv.org/abs/2002.00367

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Interpretable, Interaction-Aware Vehicle Trajectory Prediction with Uncertainty

Autor: Mänttäri, Joonatan

Autonomous driving technologies have recently made great strides in development, with several companies and research groups getting close to producing a vehicle with full autonomy. Self-driving cars introduce many advantages, including increased traf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::667bafa592452b106fda366074332fb2
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-289569

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