291 citations · 333 across the 14 of their papers we have counts for
16 papers
Masking Strategies for Background Bias Removal in Computer Vision Models
Ananthu Aniraj, Cassio F. Dantas, Dino Ienco +1
Models for fine-grained image classification tasks, where the difference between some classes can be extremely subtle and the number of samples per class tends to be low, are parti…
Sparse Linear Concept Discovery Models
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
The recent mass adoption of DNNs, even in safety-critical scenarios, has shifted the focus of the research community towards the creation of inherently intrepretable models. Concep…
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy
Cassio F. Dantas, Diego Marcos, Dino Ienco
Counterfactual explanations are an emerging tool to enhance interpretability of deep learning models. Given a sample, these methods seek to find and display to the user similar sam…
Channel-Based Attention for LCC Using Sentinel-2 Time Series
Hermann Courteille, A. Benoît, N Méger +2
Deep Neural Networks (DNNs) are getting increasing attention to deal with Land Cover Classification (LCC) relying on Satellite Image Time Series (SITS). Though high performances ca…
Attentive Weakly Supervised land cover mapping for object-based satellite image time series data with spatial interpretation
Dino Ienco, Yawogan Jean Eudes Gbodjo, Roberto Interdonato +1
Nowadays, modern Earth Observation systems continuously collect massive amounts of satellite information. The unprecedented possibility to acquire high resolution Satellite Image T…
Fine grained classification for multi-source land cover mapping
Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux +2
Nowadays, there is a general agreement on the need to better characterize agricultural monitoring systems in response to the global changes. Timely and accurate land use/land cover…