Search Results for author: Giuseppe Averta

Found 4 papers, 1 papers with code

PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition

no code implementations9 Sep 2022 Mirco Planamente, Gabriele Goletto, Gabriele Trivigno, Giuseppe Averta, Barbara Caputo

In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition.

Action Recognition Domain Generalization +2

Online vs. Offline Adaptive Domain Randomization Benchmark

1 code implementation29 Jun 2022 Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi

However, transferring the acquired knowledge to the real world can be challenging due to the reality gap.

FreeREA: Training-Free Evolution-based Architecture Search

no code implementations17 Jun 2022 Niccolò Cavagnero, Luca Robbiano, Barbara Caputo, Giuseppe Averta

In the last decade, most research in Machine Learning contributed to the improvement of existing models, with the aim of increasing the performance of neural networks for the solution of a variety of different tasks.

Neural Architecture Search

Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead

no code implementations28 May 2022 Niccolò Cavagnero, Fernando Dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech

Deep Neural Networks (DNNs) enable a wide series of technological advancements, ranging from clinical imaging, to predictive industrial maintenance and autonomous driving.

Autonomous Driving

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