5 citations · 7 across the 7 of their papers we have counts for
7 papers
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks
Hamed Behzadi-Khormouji, José Oramas
With the continue development of Convolutional Neural Networks (CNNs), there is a growing concern regarding representations that they encode internally. Analyzing these internal re…
Towards the Characterization of Representations Learned via Capsule-based Network Architectures
Saja Tawalbeh, José Oramas
Capsule Networks (CapsNets) have been re-introduced as a more compact and interpretable alternative to standard deep neural networks. While recent efforts have proved their compres…
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Benjamin Vandersmissen, Jose Oramas
The Lottery Ticket Hypothesis (LTH) showed that by iteratively training a model, removing connections with the lowest global weight magnitude and rewinding the remaining connection…
On The Coherence of Quantitative Evaluation of Visual Explanations
Benjamin Vandersmissen, Jose Oramas
Recent years have shown an increased development of methods for justifying the predictions of neural networks through visual explanations. These explanations usually take the form…
Training Methods of Multi-label Prediction Classifiers for Hyperspectral Remote Sensing Images
Salma Haidar, José Oramas
With their combined spectral depth and geometric resolution, hyperspectral remote sensing images embed a wealth of complex, non-linear information that challenges traditional compu…
Deep set conditioned latent representations for action recognition
Akash Singh, Tom De Schepper, Kevin Mets +3
In recent years multi-label, multi-class video action recognition has gained significant popularity. While reasoning over temporally connected atomic actions is mundane for intelli…
An Unpaired Shape Transforming Method for Image Translation and Cross-Domain Retrieval
Kaili Wang, Liqian Ma, Jose Oramas +2
We address the problem of unpaired geometric image-to-image translation. Rather than transferring the style of an image as a whole, our goal is to translate the geometry of an obje…