Papers with Q-ViD
Question-Instructed Visual Descriptions for Zero-Shot Video Answering (2024.findings-acl)
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| Challenge: | Existing models for video QA rely on complex architectures, expensive pipelines or closed models like GPTs. |
| Approach: | They propose a single instruction-aware open vision-language model to tackle videoQA using frame descriptions. |
| Outcome: | The proposed framework achieves higher performance than current state-of-the-art models on videoQA benchmarks. |