arXiv cs.CV
· Papers
Zero-Label Driving Scenario Complexity Detection via Joint Embedding Predictive Architecture
arXiv:2606.28383v1 Announce Type: new Abstract: Identifying complex and safety-critical driving scenarios in large unlabelled datasets is an important but expensive problem. Existing approaches rely on human annotators, supervised classifiers, or carefully engineered rule sets, all of which require substantial prior kn