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Models/IMP

IMP

Reported on 14 benchmarks across 5 tasks · 2 papers · 12 SOTA

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

Computer Vision12 results

VideoonDAVIS 2016 val
F· 2021-12-23
86.7
best: 90.2 (DEVA (DIS))
SOTA
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier arXiv:2112.12402
VideoonDAVIS 2016 val
G· 2021-12-23
85.6
best: 88.9 (GSANet)
SOTA
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier arXiv:2112.12402
VideoonDAVIS 2016 val
J· 2021-12-23
84.5
best: 88.3 (GSANet)
SOTA
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier arXiv:2112.12402
Video Object SegmentationonDAVIS 2016 val
F· 2021-12-23
86.7
best: 90.2 (DEVA (DIS))
SOTA
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier arXiv:2112.12402
Video Object SegmentationonDAVIS 2016 val
G· 2021-12-23
85.6
best: 88.9 (GSANet)
SOTA
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier arXiv:2112.12402
Video Object SegmentationonDAVIS 2016 val
J· 2021-12-23
84.5
best: 88.3 (GSANet)
SOTA
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier arXiv:2112.12402
Scene ParsingonPSG Dataset
R@20· 2017-01-10
16.5
best: 40.6 (HiLo(SwinL))
SOTA
Scene Graph Generation by Iterative Message Passing arXiv:1701.02426
Scene ParsingonPSG Dataset
mR@20· 2017-01-10
6.52
best: 34.7 (VLPrompt (R50))
SOTA
Scene Graph Generation by Iterative Message Passing arXiv:1701.02426
Scene Graph GenerationonPSG Dataset
R@20· 2017-01-10
16.5
best: 40.6 (HiLo(SwinL))
SOTA
Scene Graph Generation by Iterative Message Passing arXiv:1701.02426
Scene Graph GenerationonPSG Dataset
mR@20· 2017-01-10
6.52
best: 34.7 (VLPrompt (R50))
SOTA
Scene Graph Generation by Iterative Message Passing arXiv:1701.02426
VideoonFBMS test
J· 2021-12-23
77.5
best: 84.7 (FakeFlow)
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier arXiv:2112.12402
Video Object SegmentationonFBMS test
J· 2021-12-23
77.5
best: 84.7 (FakeFlow)
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier arXiv:2112.12402

Audio2 results

2D Semantic SegmentationonPSG Dataset
R@20· 2017-01-10
16.5
best: 40.6 (HiLo(SwinL))
SOTA
Scene Graph Generation by Iterative Message Passing arXiv:1701.02426
2D Semantic SegmentationonPSG Dataset
mR@20· 2017-01-10
6.52
best: 34.7 (VLPrompt (R50))
SOTA
Scene Graph Generation by Iterative Message Passing arXiv:1701.02426