Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Benchmark Model Rank Results
semi-supervised-video-object-segmentation-on-1STCN#18J&F: 79.9Jaccard (Mean): 76.3Jaccard (Recall): 85.5
semi-supervised-video-object-segmentation-on-18STCN (MS)#9Overall: 85.2Jaccard (Seen): 83.5F-Measure (Seen): 87.8
semi-supervised-video-object-segmentation-on-18STCN#16Overall: 84.2Jaccard (Seen): 82.6F-Measure (Seen): 87.0
semi-supervised-video-object-segmentation-on-21STCN#16J&F: 50.8J: 46.6F: 55.0
video-object-segmentation-on-youtube-vosSTCN#52Jaccard (Seen): 83.2Jaccard (Unseen): 79.0F-Measure (Seen): 87.9
video-object-segmentation-on-youtube-vos-2019-2STCN#5Mean Jaccard & F-Measure: 82.7Jaccard (Seen): 81.1
visual-object-tracking-on-davis-2016STCN#15J&F: 91.7Jaccard (Mean): 90.4Jaccard (Recall): 98.1
visual-object-tracking-on-davis-2017STCN#17J&F: 85.3Jaccard (Mean): 82.0Jaccard (Recall): 91.3