6 citations · 14 across the 4 of their papers we have counts for
4 papers
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
Simone Rossetti, Damiano Zappia, Marta Sanzari +2
Weakly Supervised Semantic Segmentation (WSSS) research has explored many directions to improve the typical pipeline CNN plus class activation maps (CAM) plus refinements, given th…
Deep execution monitor for robot assistive tasks
Lorenzo Mauro, Edoardo Alati, Marta Sanzari +3
We consider a novel approach to high-level robot task execution for a robot assistive task. In this work we explore the problem of learning to predict the next subtask by introduci…
Visual search and recognition for robot task execution and monitoring
Lorenzo Mauro, Francesco Puja, Simone Grazioso +4
Visual search of relevant targets in the environment is a crucial robot skill. We propose a preliminary framework for the execution monitor of a robot task, taking care of the robo…
Vision-based deep execution monitoring
Francesco Puja, Simone Grazioso, Antonio Tammaro +3
Execution monitor of high-level robot actions can be effectively improved by visual monitoring the state of the world in terms of preconditions and postconditions that hold before…