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lljjol
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Challenge Categories
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Challenges Entered
5 days left
UNSW Sydney
Automating Building Data Classification
Latest submissions
See All| graded | 279495 | ||
| graded | 279463 | ||
| graded | 279419 |
Sony Group Corporation
Generate Synchronised & Contextually Accurate Videos
Latest submissions
See All| graded | 275859 | ||
| graded | 275850 | ||
| graded | 275769 |
Meta
Improve RAG with Real-World Benchmarks
Latest submissions
See All| graded | 267149 | ||
| graded | 267148 | ||
| graded | 267128 |
Generate Videos with Temporal and Semantic Audio Sync
Latest submissions
See All| graded | 275638 | ||
| failed | 275637 | ||
| failed | 275636 |
Create Videos with Spatially Aligned Stereo Audio
Latest submissions
See All| graded | 275859 | ||
| graded | 275850 | ||
| graded | 275769 |
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Temporal Alignment Track
lljjol has not provided any information yet.
About the Temporal Alignment Track category
About 2 months agoAccording the documentation:
“”"
To adapt this dataset for text-conditional sounding video generation, captions for all video clips were automatically generated using LLaVA-Next. These captions are provided along with the video clips.
“”"
But I could not find the captions in the dataset provided.