DAMO-NLP-SG/VideoRefer-Bench
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM If you like our project, please give us a star ⭐ on Github for the latest update. VideoRefer-Bench is a comprehensive benchmark to evaluate the object-level video understanding capabilities of a model, which consists of two sub-benchmarks: VideoRefer-Bench-D and VideoRefer-Bench-Q. VideoRefer-Bench-D The benchmark is designed to evaluate the description generation performance… See the full description on the dataset page: https://huggingface.co/datasets/DAMO-NLP-SG/VideoRefer-Bench.
| Author / organization | DAMO-NLP-SG |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 200 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 31 December 2024 |
| Last updated at source | 31 December 2024 |
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- 16 Oct 2026 Description: VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM If you like our project, please give us a star ⭐ on Github for the latest update. VideoRefer-Bench is a comprehensive benchmark to evaluate the object-level vi → VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM If you like our project, please give us a star ⭐ on Github for the latest update. VideoRefer-Bench is a comprehensive benchmark to evaluate the object-level vi
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