2 papers
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…