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cs.LG2024
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,…
cs.LG2024
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…