Tag: video understanding

A new framework called TAL-CGBR improves temporal action localization by feeding classification semantics into boundary regression, achieving 68.5 percent average ...

Researchers in Tokyo have developed a transfer learning framework that encodes the topology of a source domain's feature space into ...

A new survey maps how training-free pipelines built on frozen AI models are tackling hour-long video understanding through token selection, ...

Researchers have developed TRACE, a self-supervised framework that teaches video AI models to reason about interventions and counterfactuals rather than ...