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On the Practicality of Deterministic Epistemic Uncertainty
A set of novel approaches for estimating epistemic uncertainty in deep n...
07/01/2021 ∙ by Janis Postels, et al. ∙
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Depth-Aware Action Recognition: Pose-Motion Encoding through Temporal Heatmaps
Most state-of-the-art methods for action recognition rely only on 2D spa...
11/26/2020 ∙ by Mattia Segù, et al. ∙
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3DSNet: Unsupervised Shape-to-Shape 3D Style Transfer
Transferring the style from one image onto another is a popular and wide...
11/26/2020 ∙ by Mattia Segù, et al. ∙
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Batch Normalization Embeddings for Deep Domain Generalization
Domain generalization aims at training machine learning models to perfor...
11/25/2020 ∙ by Mattia Segù, et al. ∙
62
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A General Framework for Uncertainty Estimation in Deep Learning
End-to-end learning has recently emerged as a promising technique to tac...
07/16/2019 ∙ by Mattia Segù, et al. ∙
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