3DCoMPaT$^{++}$: An improved Large-scale 3D Vision Dataset for Compositional Recognition

1 code implementation • 27 Oct 2023 • Habib Slim, Xiang Li, Yuchen Li, Mahmoud Ahmed, Mohamed Ayman, Ujjwal Upadhyay, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka, Mohamed Elhoseiny

In this work, we present 3DCoMPaT$^{++}$, a multimodal 2D/3D dataset with 160 million rendered views of more than 10 million stylized 3D shapes carefully annotated at the part-instance level, alongside matching RGB point clouds, 3D textured meshes, depth maps, and segmentation masks.

CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding

1 code implementation • 10 Oct 2023 • Eslam Mohamed BAKR, Mohamed Ayman, Mahmoud Ahmed, Habib Slim, Mohamed Elhoseiny

To this end, we formulate the 3D visual grounding problem as a sequence-to-sequence Seq2Seq task by first predicting a chain of anchors and then the final target.

Visual Grounding

Dataset Knowledge Transfer for Class-Incremental Learning without Memory

1 code implementation • 16 Oct 2021 • Habib Slim, Eden Belouadah, Adrian Popescu, Darian Onchis

We introduce a two-step learning process which allows the transfer of bias correction parameters between reference and target datasets.

Class Incremental Learning Incremental Learning +1