Decoupling Features in Hierarchical Propagation for Video Object Segmentation

Benchmark Model Rank Results
semi-supervised-video-object-segmentation-on-1SwinB-DeAOT-L#9J&F: 82.8Jaccard (Mean): 78.9F-measure (Mean): 86.7FPS: 15.4
semi-supervised-video-object-segmentation-on-1R50-DeAOT-L#17J&F: 80.7Jaccard (Mean): 76.9F-measure (Mean): 84.5FPS: 27.0
semi-supervised-video-object-segmentation-on-1DeAOT-L#27J&F: 77.9Jaccard (Mean): 74.1F-measure (Mean): 81.7FPS: 28.5
semi-supervised-video-object-segmentation-on-1DeAOT-B#30J&F: 76.2Jaccard (Mean): 72.5F-measure (Mean): 79.9FPS: 40.9
semi-supervised-video-object-segmentation-on-1DeAOT-S#32J&F: 75.4Jaccard (Mean): 71.9F-measure (Mean): 79.0FPS: 49.2
semi-supervised-video-object-segmentation-on-1DeAOT-T#36J&F: 73.7Jaccard (Mean): 70.0F-measure (Mean): 77.3FPS: 63.5
semi-supervised-video-object-segmentation-on-15SwinB-DeAOT-L#3EAO: 0.622EAO (real-time): 0.559
semi-supervised-video-object-segmentation-on-15R50-DeAOT-L#5EAO: 0.613EAO (real-time): 0.571
semi-supervised-video-object-segmentation-on-15DeAOT-S#7EAO: 0.593EAO (real-time): 0.559
semi-supervised-video-object-segmentation-on-15DeAOT-L#8EAO: 0.591EAO (real-time): 0.554
semi-supervised-video-object-segmentation-on-15DeAOT-B#12EAO: 0.571EAO (real-time): 0.542
semi-supervised-video-object-segmentation-on-15DeAOT-T#18EAO: 0.472EAO (real-time): 0.463
semi-supervised-video-object-segmentation-on-18SwinB-DeAOT-L#6Overall: 86.1Jaccard (Seen): 85.3F-Measure (Seen): 90.2
semi-supervised-video-object-segmentation-on-18R50-DeAOT-L#7Overall: 85.9Jaccard (Seen): 84.6F-Measure (Seen): 89.4
semi-supervised-video-object-segmentation-on-18DeAOT-L#12Overall: 84.7Jaccard (Seen): 83.8F-Measure (Seen): 88.8
semi-supervised-video-object-segmentation-on-18DeAOT-B#13Overall: 84.6Jaccard (Seen): 83.5F-Measure (Seen): 88.3
semi-supervised-video-object-segmentation-on-18DeAOT-S#18Overall: 83.8Jaccard (Seen): 82.8F-Measure (Seen): 87.5
semi-supervised-video-object-segmentation-on-18DeAOT-T#19Overall: 82.0Jaccard (Seen): 81.2F-Measure (Seen): 85.6
semi-supervised-video-object-segmentation-on-21DeAOT#12J&F: 59.4J: 55.1F: 63.8
video-object-segmentation-on-youtube-vosSwinB-DeAOT-L#5Overall: 86.2Jaccard (Seen): 85.6Jaccard (Unseen): 80.0
video-object-segmentation-on-youtube-vosR50-DeAOT-L#7Overall: 86.0Jaccard (Seen): 84.9Jaccard (Unseen): 80.4
video-object-segmentation-on-youtube-vosDeAOT-L#14Overall: 84.8Jaccard (Seen): 84.2Jaccard (Unseen): 78.6
video-object-segmentation-on-youtube-vosDeAOT-B#15Overall: 84.6Jaccard (Seen): 83.9Jaccard (Unseen): 78.5
video-object-segmentation-on-youtube-vosDeAOT-S#24Overall: 84.0Jaccard (Seen): 83.3Jaccard (Unseen): 77.9
video-object-segmentation-on-youtube-vosDeAOT-T#33Overall: 82.0Jaccard (Seen): 81.6Jaccard (Unseen): 75.8
visual-object-tracking-on-davis-2016SwinB-DeAOT-L#4J&F: 92.9Jaccard (Mean): 91.1F-measure (Mean): 94.7
visual-object-tracking-on-davis-2016R50-DeAOT-L#8J&F: 92.3Jaccard (Mean): 90.5F-measure (Mean): 94.0
visual-object-tracking-on-davis-2016DeAOT-L#14J&F: 92.0Jaccard (Mean): 90.3F-measure (Mean): 93.7
visual-object-tracking-on-davis-2016DeAOT-B#19J&F: 91.0Jaccard (Mean): 89.4F-measure (Mean): 92.5
visual-object-tracking-on-davis-2016DeAOT-S#31J&F: 89.3Jaccard (Mean): 87.6F-measure (Mean): 90.9
visual-object-tracking-on-davis-2016DeAOT-T#32J&F: 88.9Jaccard (Mean): 87.8F-measure (Mean): 89.9
visual-object-tracking-on-davis-2017SwinB-DeAOT-L#13J&F: 86.2Jaccard (Mean): 83.1F-measure (Mean): 89.2
visual-object-tracking-on-davis-2017R50-DeAOT-L#20J&F: 85.2Jaccard (Mean): 82.2F-measure (Mean): 88.2
visual-object-tracking-on-davis-2017DeAOT-L#25J&F: 84.1Jaccard (Mean): 81.0F-measure (Mean): 87.1
visual-object-tracking-on-davis-2017DeAOT-B#33J&F: 82.2Jaccard (Mean): 79.2F-measure (Mean): 85.1
visual-object-tracking-on-davis-2017DeAOT-S#37J&F: 80.8Jaccard (Mean): 77.8F-measure (Mean): 83.8
visual-object-tracking-on-davis-2017DeAOT-T#38J&F: 80.5Jaccard (Mean): 77.7F-measure (Mean): 83.3