Efficient Video Object Segmentation via Network Modulation

Benchmark Model Rank Results
semi-supervised-video-object-segmentation-on-1OSMN#55J&F: 41.3Jaccard (Mean): 37.7Jaccard (Recall): 38.9
video-instance-segmentation-on-youtube-vis-1OSMN#40mask AP: 29.1AP50: 28.6AP75: 33.1
video-object-segmentation-on-youtube-vosOSMN#51Overall: 51.2Jaccard (Seen): 60.0Jaccard (Unseen): 40.6
visual-object-tracking-on-davis-2016OSMN#56J&F: 73.45Jaccard (Mean): 74.0Jaccard (Recall): 87.6
visual-object-tracking-on-davis-2017OSMN#66J&F: 54.8Jaccard (Mean): 52.5Jaccard (Recall): 60.9
visual-object-tracking-on-youtube-vosOSMN#3O (Average of Measures): 51.2Jaccard (Seen): 60.0