AI doesn’t ‘see’ the way that you do, and that could be a problem when it categorizes objects and scenes

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.
IEEE

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments With Vision Foundation Models

Abstract: Service robots operating in unstructured environments must effectively recognize and segment unknown objects to enhance their functionality. Traditional supervised learning-based ...
IEEE

Object Pose Estimation From RGB-D Images With Affordance-Instance Segmentation Constraint for Semantic Robot Manipulation

Abstract: Object pose estimation is a crucial task for semantic robot manipulation involving the detection of suitable manipulation regions. Given the diversity of object shapes and scene complexities ...
GitHub

A Python Package for Tree Instance Segmentation in 3D Point Clouds.

TreeXAlgorithm - Burmeister, Josafat-Mattias, Tockner, Andreas, Reder, Stefan, Engel, Markus, Richter, Rico, Mund, Jan-Peter, & Döllner, Jürgen (2025). "treeX ...