Jinxing1/MQ-RAVSBench
MQ-RAVSBench MQ-RAVSBench is a benchmark for mask-quality auditing in referring audio-visual segmentation. Each example links a video clip, audio, a referring expression, the ground-truth object mask, and candidate masks with different error patterns. The benchmark is used by MQ-Auditor to assess whether a candidate mask should be accepted, revised, or rejected. All paths stored in the metadata files are relative to the dataset root. Dataset Layout MQ-RAVSBench/… See the full description on the dataset page: https://huggingface.co/datasets/Jinxing1/MQ-RAVSBench.
| Author / organization | Jinxing1 |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 13K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 22 May 2026 |
| Last updated at source | 22 May 2026 |
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