List of theses with "Cermelli, Fabio as relator"

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Number of items: 11.

Claudio Macaluso. Adapting Vision-Language Models for Open-Vocabulary Object Detection through Prompt Learning. Rel. Barbara Caputo, Fabio Cermelli, Gabriele Rosi. Politecnico di Torino, Master of science program in Computer Engineering, 2025

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Arda Eren Dogru. Encoder-Only Multi-Task Learning. Rel. Carlo Masone, Fabio Cermelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2025
Giovanni Calleris. Structured Pruning for Efficient Convolutional Networks. Rel. Giuseppe Bruno Averta, Barbara Caputo, Fabio Cermelli, Claudia Cuttano. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023

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Gabriele Rosi. Towards universal lightweight models for image segmentation. Rel. Giuseppe Bruno Averta, Fabio Cermelli, Barbara Caputo, Antonio Tavera. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
Matteo Tarantino. Detecting the Unknown in Object Detection. Rel. Barbara Caputo, Fabio Cermelli, Dario Fontanel. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
Linda Ludovisi. Learning Task Oriented Grasp for objects of common use. Rel. Barbara Caputo, Giuseppe Bruno Averta, Fabio Cermelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022

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Antonino Geraci. Modeling the background in Incremental Object Detection. Rel. Barbara Caputo, Fabio Cermelli, Dario Fontanel, Marcello Restelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022

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Mauro Musarra. Relaxing the Forget Constraints in Open World Recognition. Rel. Barbara Caputo, Dario Fontanel, Fabio Cermelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
Eros Fani'. On the Challenges of Class Imbalance in Federated Learning for Semantic Segmentation. Rel. Barbara Caputo, Debora Caldarola, Fabio Cermelli, Antonio Tavera. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
Lidia Fantauzzo. On the Challenges of Federated Learning in Semantic Segmentation across Domains. Rel. Barbara Caputo, Debora Caldarola, Fabio Cermelli, Antonio Tavera. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021
Giuseppe Pastore. On the importance of Pseudo-Labeling for Generalized Zero-Shot Semantic Segmentation. Rel. Barbara Caputo, Matteo Matteucci, Massimiliano Mancini, Fabio Cermelli. Politecnico di Torino, Master of science program in Computer Engineering, 2020

This list was generated on Thu Apr 9 20:38:10 2026 CEST.