HVIS Dataset (Human Video Instance Segmentation Dataset)
Introduced by Yu et al. in Real-time Human-Centric Segmentation for Complex Video Scenes
We propose a new benchmark called Human Video Instance Segmentation (HVIS), which focuses on complex real-world scenarios with sufficient human instance masks and identities. Our dataset contains 805 videos with 1447 detailedly annotated human instances. It also includes various overlapping scenes, which integrates into the most challenging video dataset related to humans.
Papers
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