Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers

ArXi:2605.03614v1 Announce Type: new Visual affordances identify regions in an image with potential interactions, offering a novel paradigm for scene understanding. Recognizing affordances allows autonomous robots to act naturally, could enhance human-robot interactions, enrich augmented reality systems, and benefit prosthetic vision devices. Accurate and localized prediction of affordance regions, rather than general saliency maps is crucial for these applications.