SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization

Benchmark Model Rank Results
semi-supervised-video-object-segmentation-on-20SWEM#6D17 val (G): 77.2D17 val (J): 74.5D17 val (F): 79.8
semi-supervised-video-object-segmentation-on-21SWEM#15J&F: 50.9J: 46.8F: 54.9
visual-object-tracking-on-davis-2016SWEM (val)#35J&F: 88.1Jaccard (Mean): 87.3F-measure (Mean): 89.0Speed (FPS): 36
visual-object-tracking-on-davis-2017SWEM#45J&F: 77.2Jaccard (Mean): 74.5F-measure (Mean): 79.8