12 citations · 12 across the 4 of their papers we have counts for
5 papers
Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem-Tan, Nico Catalano +2
Vision Transformers rely on fixed patch tokens that ignore the spatial and semantic structure of images. In this work, we introduce an end-to-end differentiable tokenizer that adap…
MARS: a Multimodal Alignment and Ranking System for Few-Shot Segmentation
Nico Catalano, Stefano Samele, Paolo Pertino +1
Few Shot Segmentation aims to segment novel object classes given only a handful of labeled examples, enabling rapid adaptation with minimal supervision. Current literature cruciall…
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation
Nico Catalano, Alessandro Maranelli, Agnese Chiatti +1
Semantic segmentation is a key prerequisite to robust image understanding for applications in \acrlong{ai} and Robotics. \acrlong{fss}, in particular, concerns the extension and op…
Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain Shifts
Agnese Chiatti, Riccardo Bertoglio, Nico Catalano +2
Mobile robots will play a crucial role in the transition towards sustainable agriculture. To autonomously and effectively monitor the state of plants, robots ought to be equipped w…
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges
Nico Catalano, Matteo Matteucci
Semantic segmentation, vital for applications ranging from autonomous driving to robotics, faces significant challenges in domains where collecting large annotated datasets is diff…