WCS-Net

Reported on 8 benchmarks across 2 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

VideoonDAVIS 2016 val
F
80.7
best: 90.2 (DEVA (DIS))
VideoonDAVIS 2016 val
G
81.5
best: 88.9 (GSANet)
VideoonDAVIS 2016 val
J
82.2
best: 88.3 (GSANet)
VideoonYouTube-Objects
J
70.5
best: 75.1 (FakeFlow)
Video Object SegmentationonDAVIS 2016 val
F
80.7
best: 90.2 (DEVA (DIS))
Video Object SegmentationonDAVIS 2016 val
G
81.5
best: 88.9 (GSANet)
Video Object SegmentationonDAVIS 2016 val
J
82.2
best: 88.3 (GSANet)
Video Object SegmentationonYouTube-Objects
J
70.5
best: 75.1 (FakeFlow)