Efficient Regional Memory Network for Video Object Segmentation

Benchmark Model Rank Results
semi-supervised-video-object-segmentation-on-1RMNet#33J&F: 75.0Jaccard (Mean): 71.9F-measure (Mean): 78.1
semi-supervised-video-object-segmentation-on-20RMNet#8D17 val (G): 75.0D17 val (J): 72.8D17 val (F): 77.2
video-object-segmentation-on-youtube-vosRMNet#35Overall: 81.5Jaccard (Seen): 82.1Jaccard (Unseen): 75.7
visual-object-tracking-on-davis-2016RMNet#33J&F: 88.8Jaccard (Mean): 88.9F-measure (Mean): 88.7
visual-object-tracking-on-davis-2017RMNet#29J&F: 83.5Jaccard (Mean): 81.0F-measure (Mean): 86.0