Zobrazeno 1 - 10
of 1 607
pro vyhledávání: '"Olmeda ÁS"'
Autor:
Bartolucci, Giacomo, Busiello, Daniel Maria, Ciarchi, Matteo, Corticelli, Alberto, Di Terlizzi, Ivan, Olmeda, Fabrizio, Revignas, Davide, Schimmenti, Vincenzo Maria
"Pasta alla Cacio e pepe" is a traditional Italian dish made with pasta, pecorino cheese, and pepper. Despite its simple ingredient list, achieving the perfect texture and creaminess of the sauce can be challenging. In this study, we systematically e
Externí odkaz:
http://arxiv.org/abs/2501.00536
Vision language models (VLMs) demonstrate impressive capabilities in visual question answering and image captioning, acting as a crucial link between visual and language models. However, existing open-source VLMs heavily rely on pretrained and frozen
Externí odkaz:
http://arxiv.org/abs/2407.16526
Visual relocalization is a key technique to autonomous driving, robotics, and virtual/augmented reality. After decades of explorations, absolute pose regression (APR), scene coordinate regression (SCR), and hierarchical methods (HMs) have become the
Externí odkaz:
http://arxiv.org/abs/2404.09271
Semantic Segmentation is one of the most challenging vision tasks, usually requiring large amounts of training data with expensive pixel level annotations. With the success of foundation models and especially vision-language models, recent works atte
Externí odkaz:
http://arxiv.org/abs/2403.09307
The self-organization of cells into complex tissues relies on a tight coordination of cell behavior. Identifying the cellular processes driving tissue growth is key to understanding the emergence of tissue forms and devising targeted therapies for ab
Externí odkaz:
http://arxiv.org/abs/2312.01923
Out-of-Distribution (OOD) detection is a crucial problem for the safe deployment of machine learning models identifying samples that fall outside of the training distribution, i.e. in-distribution data (ID). Most OOD works focus on the classification
Externí odkaz:
http://arxiv.org/abs/2310.01942
In Class-Incremental Learning (CIL) an image classification system is exposed to new classes in each learning session and must be updated incrementally. Methods approaching this problem have updated both the classification head and the feature extrac
Externí odkaz:
http://arxiv.org/abs/2303.13199
Autor:
Olmeda, Fabrizio, Rulands, Steffen
Complex systems with global interactions tend to be stable if interactions between components are sufficiently homogeneous. In biological systems, which often have small copy numbers and interactions mediated by diffusing agents, noise and non-locali
Externí odkaz:
http://arxiv.org/abs/2303.12611
Cross entropy loss has served as the main objective function for classification-based tasks. Widely deployed for learning neural network classifiers, it shows both effectiveness and a probabilistic interpretation. Recently, after the success of self
Externí odkaz:
http://arxiv.org/abs/2211.03646
Autor:
Conti, Francesca, Vergès-Castillo, Alba, Sánchez-Vázquez, Francisco J., López-Olmeda, José F., Bertolucci, Cristiano, Muñoz-Cueto, José A.
Publikováno v:
In Comparative Biochemistry and Physiology, Part A January 2025 299
