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.
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