SESIV (SEmantic Salient Instance Video)
Introduced by Le et al. in Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation
SEmantic Salient Instance Video (SESIV) dataset is obtained by augmenting the DAVIS-2017 benchmark dataset by assigning semantic ground-truth for salient instance labels. The SESIV dataset consists of 84 high-quality video sequences with pixel-wisely per-frame ground-truth labels.
Source: Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance SegmentationPapers
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