OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
Paper
• 2501.05510 • Published
• 44
Datasets:
Tasks:
Video-Text-to-Text
Modalities:
Text
Formats:
webdataset
Languages:
English
Size:
1K - 10K
ArXiv:
License:
The dataset viewer is not available for this split.
Rows from parquet row groups are too big to be read: 9.01 GiB (max=286.10 MiB)
Error code: TooBigContentError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
OVO-Bench: How Far is Your Video-LLMs from Real-World Online VideO Understanding?
🔥🔥OVO-Bench is accepted by CVPR 2025!🔥🔥
Important Note: Current codebase is modified compared to our initial arXiv paper. We strongly recommend that any use of OVO-Bench should be based on current edition.
Introduction
🌟 Three distinct problem-solving modes
- Backward Tracing: trace back to past events to answer the question.
- Real-Time Visual Perception: understand and respond to events as they unfold at the current timestamp.
- Forward Active Responding: delay the response until sufficient future information becomes available to answer the question accurately.
- Downloads last month
- 1,203
Size of the auto-converted Parquet files (First 5GB):
9.67 GB
Number of rows (First 5GB):
100
Estimated number of rows:
2,055