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cs.CV2026
Memory-Augmented Vision-Language Agents for Persistent and Semantically Consistent Object Captioning
Tommaso Galliena, Stefano Rosa, Tommaso Apicella +3
Vision-Language Models (VLMs) often yield inconsistent descriptions of the same object across viewpoints, hindering the ability of embodied agents to construct consistent semantic…
cs.CV2025
Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions
Tommaso Galliena, Tommaso Apicella, Stefano Rosa +3
We present a self-supervised method to improve an agent's abilities in describing arbitrary objects while actively exploring a generic environment. This is a challenging problem, a…
cs.CV2024
Look Around and Learn: Self-Training Object Detection by Exploration
Gianluca Scarpellini, Stefano Rosa, Pietro Morerio +2
When an object detector is deployed in a novel setting it often experiences a drop in performance. This paper studies how an embodied agent can automatically fine-tune a pre-existi…