The Video Question Answering (VQA) System leverages advanced computer vision to interpret video content, identifying objects, actions, and spatial relationships. It integrates data from video frames and textual questions using multimodal fusion and utilizes contextual reasoning for context-aware question answering.
active 2024-03-22 → 2024-07-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 125 days from 2024-03-22 to 2024-07-24. Pushes: 6 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| aparnabg | 6 | 6 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.