Reliable Propagation-Correction Modulation for Video Object Segmentation

Benchmark Model Rank Results
semi-supervised-video-object-segmentation-on-1RPCMVOS-Full-Res#15J&F: 81Jaccard (Mean): 77.6F-measure (Mean): 84.3
semi-supervised-video-object-segmentation-on-1RPCMVOS#22J&F: 79.2Jaccard (Mean): 75.8F-measure (Mean): 82.6
semi-supervised-video-object-segmentation-on-18RPCMVOS#17Overall: 83.9Jaccard (Seen): 82.6F-Measure (Seen): 86.9
video-object-segmentation-on-davis-2017-test-1RPCMVOS#2Jaccard: 75.8F-measure: 82.6Mean Jaccard & F-Measure: 79.2
video-object-segmentation-on-youtube-vosRPCMVOS-MS#20Overall: 84.3Jaccard (Seen): 83.3Jaccard (Unseen): 78.9
video-object-segmentation-on-youtube-vosRPCMVOS#23Overall: 84Jaccard (Seen): 83.1F-Measure (Seen): 87.7
video-object-segmentation-on-youtube-vos-2019-2RPCMVOS#4Mean Jaccard & F-Measure: 83.9Jaccard (Seen): 82.6
visual-object-tracking-on-davis-2016RPCMVOS#22J&F: 90.6Jaccard (Mean): 87.1F-measure (Mean): 94
visual-object-tracking-on-davis-2017RPCMVOS#27J&F: 83.7Jaccard (Mean): 81.3F-measure (Mean): 86