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20222025
most citedCross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model

3 citations · 4 across the 10 of their papers we have counts for

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cs.CV2025

Learning reusable concepts across different egocentric video understanding tasks

Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro +2

Our comprehension of video streams depicting human activities is naturally multifaceted: in just a few moments, we can grasp what is happening, identify the relevance and interacti…

cs.CV2024

What does CLIP know about peeling a banana?

Claudia Cuttano, Gabriele Rosi, Gabriele Trivigno +1

Humans show an innate capability to identify tools to support specific actions. The association between objects parts and the actions they facilitate is usually named affordance. B…

cs.CV2024

The revenge of BiSeNet: Efficient Multi-Task Image Segmentation

Gabriele Rosi, Claudia Cuttano, Niccolò Cavagnero +2

Recent advancements in image segmentation have focused on enhancing the efficiency of the models to meet the demands of real-time applications, especially on edge devices. However,…

cs.CV2024

A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives

Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro +1

Human comprehension of a video stream is naturally broad: in a few instants, we are able to understand what is happening, the relevance and relationship of objects, and forecast wh…

cs.CV20243 cited

Cross-Domain Transfer Learning with CoRTe: Consistent and Reliable Transfer from Black-Box to Lightweight Segmentation Model

Claudia Cuttano, Antonio Tavera, Fabio Cermelli +2

Many practical applications require training of semantic segmentation models on unlabelled datasets and their execution on low-resource hardware. Distillation from a trained source…

cs.CV2024

PEM: Prototype-based Efficient MaskFormer for Image Segmentation

Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano +4

Recent transformer-based architectures have shown impressive results in the field of image segmentation. Thanks to their flexibility, they obtain outstanding performance in multipl…