Seeing Through Extreme Visual Sparsity: Surface Understanding from a Single Random Visual Patch
Surface material recognition from incomplete visual observations remains a challenging problem in robotic perception and environmental understanding. This paper discusses Sparse Surface Understanding Framework (SSUF), a unified dual-task learning framework that adapts four pretrained architectures-Convolutional Autoenc...