10 citations · 16 across the 13 of their papers we have counts for
6 papers · 1 filter
SenCLIP: Enhancing zero-shot land-use mapping for Sentinel-2 with ground-level prompting
Pallavi Jain, Dino Ienco, Roberto Interdonato +2
Pre-trained vision-language models (VLMs), such as CLIP, demonstrate impressive zero-shot classification capabilities with free-form prompts and even show some generalization in sp…
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,…
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
Ananthu Aniraj, Cassio F. Dantas, Dino Ienco +1
Computer vision methods that explicitly detect object parts and reason on them are a step towards inherently interpretable models. Existing approaches that perform part discovery d…
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
Cassio F. Dantas, Raffaele Gaetano, Dino Ienco
Semi-supervised domain adaptation methods leverage information from a source labelled domain with the goal of generalizing over a scarcely labelled target domain. While this settin…
Towards a multimodal framework for remote sensing image change retrieval and captioning
Roger Ferrod, Luigi Di Caro, Dino Ienco
Recently, there has been increasing interest in multimodal applications that integrate text with other modalities, such as images, audio and video, to facilitate natural language i…
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…