VPCD (Video Person-Clustering)
Introduced by Brown et al. in Face, Body, Voice: Video Person-Clustering with Multiple Modalities
VPCD contains multi-modal annotations (face, body and voice) for all primary and secondary characters from a range of diverse TV-shows and movies. It is used for evaluating multi-modal person-clustering. It contains body-tracks for each annotated character, face-tracks when visible, and voice-tracks when speaking, with their associated features.
It consists of more than 30,000 face and body tracks of 300+ characters, from over 23 hours of video.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
VPCD
|
GSCMIA
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
