Transparent and Reflective Object Annotation: Solving the Hardest Perception Problem in Robotics
Recognition and annotation of transparent and reflective objects is one of the most challenging tasks in robotic perception. Despite significant progress in computer vision and deep learning, current systems still face fundamental limitations when working with materials that violate standard assumptions about diffuse light reflection. Glass, mirror surfaces, and other
