MUSES (MUlti-Shot EventS)
Introduced by Liu et al. in Multi-shot Temporal Event Localization: a Benchmark
MUSES is a large-scale dataset for temporal event (action) localization. It focuses on the temporal localization of multi-shot events, which are captured with multiple shots. Such events often appear in edited videos, such as TV shows and movies.
What’s included in MUSES:
- 3,697 videos of TV and movie dramas
- 716 hours of duration
- 25 event categories
- 652k shots
- 31,477 annotated event instances
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
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MUSES
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TemporalMaxer
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Papers
| Paper | Code | Results | Date | Stars |
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