Opening Conference | Building Safer AI for Youth Mental Health
On March 16, starting at 9 AM, join leading AI researchers, clinical experts, and voices from the ground for an event exploring the frameworks needed to design AI that is not only powerful, but also safe for mental health.
TRAIL: Responsible AI for Professionals and Leaders
Learn how to integrate responsible AI practices into your organization with TRAIL. Join our information session on March 12, where you’ll discover the program in detail and have the chance to ask all your questions.
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3D scene understanding has been transformed by open-vocabulary language models that enable interaction via natural language. However, at pre… (see more)sent the evaluation of these representations is limited to datasets with closed-set semantics that do not capture the richness of language. This work presents OpenLex3D, a dedicated benchmark for evaluating 3D open-vocabulary scene representations. OpenLex3D provides entirely new label annotations for scenes from Replica, ScanNet++, and HM3D, which capture real-world linguistic variability by introducing synonymical object categories and additional nuanced descriptions. Our label sets provide 13 times more labels per scene than the original datasets. By introducing an open-set 3D semantic segmentation task and an object retrieval task, we evaluate various existing 3D open-vocabulary methods on OpenLex3D, showcasing failure cases, and avenues for improvement. Our experiments provide insights on feature precision, segmentation, and downstream capabilities. The benchmark is publicly available at: https://openlex3d.github.io/.