1 code implementation • 9 Nov 2022 • Antonio Rodríguez-Sánchez, Simon Haller-Seeber, David Peer, Chris Engelhardt, Jakob Mittelberger, Matteo Saveriano
In the experimental evaluation we will show that our algorithm is superior to current affordance detection methods when faced with grasping previously unseen objects thanks to our Capsule Network enforcing a parts-to-whole representation.
2 code implementations • 1 Aug 2022 • David Peer, Bart Keulen, Sebastian Stabinger, Justus Piater, Antonio Rodríguez-Sánchez
We show empirically that we can therefore train a "vanilla" fully connected network and convolutional neural network -- no skip connections, batch normalization, dropout, or any other architectural tweak -- with 500 layers by simply adding the batch-entropy regularization term to the loss function.
1 code implementation • 14 Feb 2022 • Sayantan Auddy, Jakob Hollenstein, Matteo Saveriano, Antonio Rodríguez-Sánchez, Justus Piater
We empirically demonstrate the effectiveness of this approach in remembering long sequences of trajectory learning tasks without the need to store any data from past demonstrations.
1 code implementation • 26 Jan 2022 • Josef Gugglberger, David Peer, Antonio Rodríguez-Sánchez
MoCapsNets are inspired by Momentum ResNets, a type of network that applies reversible residual building blocks.
no code implementations • 23 Feb 2021 • Sebastian Stabinger, David Peer, Antonio Rodríguez-Sánchez
Convolutional neural networks have established themselves over the past years as the state of the art method for image classification, and for many datasets, they even surpass humans in categorizing images.
no code implementations • 18 Feb 2021 • Antonio Pich, Antonio Rodríguez-Sánchez
Hadronic matrix elements of local four-quark operators play a central role in non-leptonic kaon decays, while vacuum matrix elements involving the same kind of operators appear in inclusive dispersion relations, such as those relevant in $\tau$-decay analyses.
High Energy Physics - Phenomenology High Energy Physics - Lattice
no code implementations • 22 Jan 2021 • Johan Bijnens, Nils Hermansson-Truedsson, Laetitia Laub, Antonio Rodríguez-Sánchez
The short-distance behaviour of the hadronic light-by-light (HLbL) contribution to $(g-2)_{\mu}$ has recently been studied by means of an operator product expansion in a background electromagnetic field.
High Energy Physics - Phenomenology
no code implementations • 29 Jan 2020 • Sebastian Stabinger, Peer David, Justus Piater, Antonio Rodríguez-Sánchez
Convolutional Neural Networks (CNNs) have become the state of the art method for image classification in the last ten years.
no code implementations • 28 Jul 2016 • Sebastian Stabinger, Antonio Rodríguez-Sánchez, Justus Piater
We try to determine the progress made by convolutional neural networks over the past 25 years in classifying images into abstractc lasses.
no code implementations • 6 Apr 2013 • Justus Piater, Antonio Rodríguez-Sánchez
This volume represents the proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (\"OAGM/AAPR), held May 23-24, 2013, in Innsbruck, Austria.