10 citations · 16 across the 13 of their papers we have counts for
3 papers · 1 filter
DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning
Dino Ienco, Cassio Fraga Dantas
Cross-modal knowledge distillation (CMKD) refers to the scenario in which a learning framework must handle training and test data that exhibit a modality mismatch, more precisely,…
Reuse out-of-year data to enhance land cover mapping via feature disentanglement and contrastive learning
Cassio F. Dantas, Raffaele Gaetano, Claudia Paris +1
Timely up-to-date land use/land cover (LULC) maps play a pivotal role in supporting agricultural territory management, environmental monitoring and facilitating well-informed and s…
Coarse-to-Fine Concept Bottleneck Models
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
Deep learning algorithms have recently gained significant attention due to their impressive performance. However, their high complexity and un-interpretable mode of operation hinde…