2 papers
cs.CV2026
Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers
Lorenzo Mur-Labadia, Ruben Martinez-Cantina, Jose J. Guerrero
Visual affordances identify regions in an image with potential interactions, offering a novel paradigm for scene understanding. Recognizing affordances allows autonomous robots to…
cs.CV2026
SSeg: Active Sparse Point-Label Augmentation for Semantic Segmentation
Cesar Borja, Carlos Plou, Ruben Martinez-Cantin +1
Semantic segmentation is essential for automating remote sensing analysis in fields like ecology. However, fine-grained analysis of complex aerial or underwater imagery remains an…