3 papers
cs.CV2026
Training-Free Fine-Grained Semantic Segmentations in Low Data Regimes: A FungiTastic Baseline
Sebastian Cavada, Francesco Pelosin, Lapo Faggi
Fine-grained semantic segmentation requires both precise localization and discrimination between visually similar classes. In FungiTastic, this problem is further complicated by a…
cs.CV2026
Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Map
Emanuele Caruso, Alessandro Simoni, Francesco Pelosin
Synthetic dataset generation in Computer Vision, particularly for industrial applications, is still underexplored. Industrial defect segmentation, for instance, requires highly acc…
cs.CV2024
Dynamic Label Injection for Imbalanced Industrial Defect Segmentation
Emanuele Caruso, Francesco Pelosin, Alessandro Simoni +1
In this work, we propose a simple yet effective method to tackle the problem of imbalanced multi-class semantic segmentation in deep learning systems. One of the key properties for…