Datasets › VCAS-Motion
VCAS-Motion (Video Class Agnostic Segmentation Benchmark)
Video class agnostic segmentation (VCAS) is the task of segmenting objects without regards to its semantics combining appearance, motion and geometry from monocular video sequences. The main motivation behind this is to account for unknown objects in the scene and to act as a redundant signal along with the segmentation of known classes for better safety as shown in the following Figure.
This VCAS benchmark is built from KITTI-MOTS and Cityscapes-VPS.
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 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- VCAS-Motion
1 variant name, as the archive lists them.
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