Scalable Video Object Segmentation with Identification Mechanism

Benchmark Model Rank Results
semi-supervised-video-object-segmentation-on-1SwinB-AOST (L'=3, MS)#4J&F: 84.7Jaccard (Mean): 80.9F-measure (Mean): 88.5FPS: 1.3
semi-supervised-video-object-segmentation-on-1SwinB-AOTv2-L#5J&F: 84.5Jaccard (Mean): 81.0F-measure (Mean): 87.9FPS: 1.3
semi-supervised-video-object-segmentation-on-1SwinB-AOST (L'=3)#10J&F: 82.7Jaccard (Mean): 78.8F-measure (Mean): 86.6FPS: 12.0
semi-supervised-video-object-segmentation-on-1R50-AOST (L'=3)#19J&F: 79.9Jaccard (Mean): 76.2F-measure (Mean): 83.6FPS: 17.5
semi-supervised-video-object-segmentation-on-1R50-AOST (L'=2)#25J&F: 78.1Jaccard (Mean): 74.5F-measure (Mean): 81.7FPS: 24.3
semi-supervised-video-object-segmentation-on-18SwinB-AOTv2-L (all frames, MS)#3Overall: 86.5Jaccard (Seen): 85.5F-Measure (Seen): 90.3
semi-supervised-video-object-segmentation-on-18SwinB-AOTv2-L (all frames)#10Overall: 85.2Jaccard (Seen): 84.2F-Measure (Seen): 88.9
semi-supervised-video-object-segmentation-on-18R50-AOST (L'=3)#11Overall: 84.9Jaccard (Seen): 83.8F-Measure (Seen): 88.7
semi-supervised-video-object-segmentation-on-18R50-AOST (L'=2)#14Overall: 84.3Jaccard (Seen): 83.3F-Measure (Seen): 88.0
semi-supervised-video-object-segmentation-on-18R50-AOST (L'=1)#20Overall: 81.5Jaccard (Seen): 81.0F-Measure (Seen): 85.6
video-object-segmentation-on-youtube-vosSwinB-AOTv2-L (all frames, MS)#4Overall: 86.5Jaccard (Seen): 85.6Jaccard (Unseen): 80.7
video-object-segmentation-on-youtube-vosSwinB-AOTv2-L (all frames)#8Overall: 85.8Jaccard (Unseen): 79.6F-Measure (Seen): 90.1
video-object-segmentation-on-youtube-vosR50-AOTv2-L (all frames)#11Overall: 85.4Jaccard (Seen): 85.1Jaccard (Unseen): 78.9
video-object-segmentation-on-youtube-vosR50-AOST (L'=3)#13Overall: 85.0Jaccard (Seen): 83.8Jaccard (Unseen): 79.3
video-object-segmentation-on-youtube-vosR50-AOST (L'=2)#18Overall: 84.5Jaccard (Seen): 83.5Jaccard (Unseen): 78.8
video-object-segmentation-on-youtube-vosR50-AOST (L'=1)#34Overall: 81.6Jaccard (Seen): 81.4Jaccard (Unseen): 75.5
visual-object-tracking-on-davis-2016SwinB-AOTv2-L (MS)#2J&F: 93.0Jaccard (Mean): 91.6F-measure (Mean): 94.4
visual-object-tracking-on-davis-2016SwinB-AOST (L'=3, MS)#3J&F: 93.0Jaccard (Mean): 91.5F-measure (Mean): 94.5
visual-object-tracking-on-davis-2016SwinB-AOTv2-L#6J&F: 92.4Jaccard (Mean): 90.6F-measure (Mean): 94.1
visual-object-tracking-on-davis-2016SwinB-AOST (L'=3)#7J&F: 92.4Jaccard (Mean): 90.5F-measure (Mean): 94.2
visual-object-tracking-on-davis-2016R50-AOST (L'=3)#9J&F: 92.1Jaccard (Mean): 90.6F-measure (Mean): 93.6
visual-object-tracking-on-davis-2016R50-AOST (L'=2)#11J&F: 92.0Jaccard (Mean): 90.5F-measure (Mean): 93.4
visual-object-tracking-on-davis-2016R50-AOST (L'=1)#25J&F: 90.3Jaccard (Mean): 89.6F-measure (Mean): 90.9
visual-object-tracking-on-davis-2017SwinB-AOTv2-L (MS)#9J&F: 87.0Jaccard (Mean): 84.2F-measure (Mean): 89.8
visual-object-tracking-on-davis-2017SwinB-AOST (L'=3, MS)#10J&F: 86.7Jaccard (Mean): 83.8F-measure (Mean): 89.5
visual-object-tracking-on-davis-2017SwinB-AOTv2-L#11J&F: 86.3Jaccard (Mean): 83.1F-measure (Mean): 89.4
visual-object-tracking-on-davis-2017R50-AOST (L'=3)#14J&F: 85.6Jaccard (Mean): 82.6F-measure (Mean): 88.5
visual-object-tracking-on-davis-2017R50-AOST (L'=2)#18J&F: 85.3Jaccard (Mean): 82.5F-measure (Mean): 88.0
visual-object-tracking-on-davis-2017R50-AOST (L'=1)#28J&F: 83.7Jaccard (Mean): 81.2F-measure (Mean): 86.1