Datasets › AVSBench
AVSBench (Audio −Visual Segmentation)
AVSBench is a pixel-level audio-visual segmentation benchmark that provides ground truth labels for sounding objects. The dataset is divided into three subsets: AVSBench-object (Single-source subset, Multi-sources subset) and AVSBench-semantic (Semantic-labels subset). Accordingly, three settings are studied:
1) semi-supervised audio-visual segmentation with a single sound source
2) fully-supervised audio-visual segmentation with multiple sound sources
3) fully-supervised audio-visual semantic segmentation
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 20 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- AVSBench
1 variant name, as the archive lists them.
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