Mean Jaccard & F-Measure: 83.7Jaccard: 80.5F-measure: 87.0
Papers with Code · CC BY-SA 4.0
Video Object Segmentation
Video object segmentation is a binary labeling problem aiming to separate foreground object(s) from the background region of a video.
For leaderboards please refer to the different subtasks.
논문
Mean Jaccard & F-Measure: 85Jaccard (Seen): 84.5Jaccard (Unseen): 79F-Measure (Seen): 89.3
mIoU: 68.8
Jaccard (Mean): 76.7
J&F: 68.3
Mean Jaccard & F-Measure: 84.1Jaccard (Seen): 83.5Jaccard (Unseen): 78.4F-Measure (Seen): 88.1
Mean Jaccard & F-Measure: 82.6Jaccard (Seen): 81.7Jaccard (Unseen): 77.1F-Measure (Seen): 86.2
mIoU: 58.4
J&F: 71.4
mIoU: 0.821
F-Score: 82.3
Jaccard (Mean): 92.5F-Score: 94.2J&F: 93.4
Average IOU: 75.6
Mean Jaccard & F-Measure: 83.3Jaccard (Seen): 83.2Jaccard (Unseen): 76.9F-Measure (Seen): 87.7
Mean Jaccard & F-Measure: 83.9Jaccard (Seen): 82.6Jaccard (Unseen): 79.1F-Measure (Seen): 86.9
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Mean Jaccard & F-Measure: 82.7Jaccard (Seen): 81.1Jaccard (Unseen): 78.2F-Measure (Seen): 85.4
Average IOU: 69.5
Mean Jaccard & F-Measure: 81.8Jaccard (Seen): 80.9Jaccard (Unseen): 76.6
Jaccard (Mean): 81.7F-Score: 85.9
mIoU: 59J&F: 62.2
Jaccard (Mean): 79.4J&F: 82.5F-Score: 85.5