Search Results for author:
Found 2 papers, 2 papers with code
Multi-Attribute Interactions Matter for 3D Visual Grounding
3D visual grounding aims to localize 3D objects described by free-form language sentences.
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
To this end, in this paper, we propose a novel adaptive subgraph generation based contrastive learning framework for efficient and robust self-supervised graph representation learning, and the optimal transport distance is utilized as the similarity metric between the subgraphs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
