Search Results for author:
Found 3 papers, 0 papers with code
Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling
However, previous 3D scene graph generation methods utilize a fully supervised learning manner and require a large amount of entity-level annotation data of objects and relations, which is extremely resource-consuming and tedious to obtain.
Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking
However, according to our investigation, the lacking of datasets focusing on real-world application scenarios limits the further improvements for current learning-based MTMCT models.
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions
In recent years the possibility of relaxing the so-called Faithfulness assumption in automated causal discovery has been investigated.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
