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Models/OSMN

OSMN

Reported on 89 benchmarks across 6 tasks · 1 paper · 8 SOTA

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

Computer Vision92 results

VideoonYouTube-VOS 2018
Jaccard (Seen)· 2018-02-04
60
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonYouTube-VOS 2018
Speed (FPS)· 2018-02-04
7.14
best: 65.9 (FRTM)
SOTA
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2018-02-04
60
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonYouTube-VOS 2018
Speed (FPS)· 2018-02-04
7.14
best: 65.9 (FRTM)
SOTA
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2018-02-04
60
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Speed (FPS)· 2018-02-04
7.14
best: 65.9 (FRTM)
SOTA
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Instance SegmentationonYouTube-VIS validation
AP75· 2018-02-04
33.1
best: 76.2 (CAVIS(ViT-L, Online))
SOTA
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Instance SegmentationonYouTube-VIS validation
mask AP· 2018-02-04
29.1
best: 68.9 (CAVIS(ViT-L, Online))
SOTA
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (val)
F-measure (Decay)· 2018-02-04
24.3
best: 85.3 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (val)
F-measure (Mean)· 2018-02-04
57.1
best: 93.4 (Cutie+ (base))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (val)
F-measure (Recall)· 2018-02-04
66.1
best: 94.6 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (val)
J&F· 2018-02-04
54.8
best: 90.7 (SAM2)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (val)
Jaccard (Decay)· 2018-02-04
21.5
best: 32.5 (MuG-W)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (val)
Jaccard (Mean)· 2018-02-04
52.5
best: 87.5 (Cutie+ (base))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (val)
Jaccard (Recall)· 2018-02-04
60.9
best: 91.4 (ISVOS (MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2016
F-measure (Decay)· 2018-02-04
10.6
best: 27.2 (OFL)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2016
F-measure (Mean)· 2018-02-04
72.9
best: 94.7 (SwinB-DeAOT-L)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2016
F-measure (Recall)· 2018-02-04
84
best: 97.1 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2016
J&F· 2018-02-04
73.45
best: 93.4 (ISVOS (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2016
Jaccard (Decay)· 2018-02-04
9
best: 28.9 (BVS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2016
Jaccard (Mean)· 2018-02-04
74
best: 92.5 (ISVOS (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2016
Jaccard (Recall)· 2018-02-04
87.6
best: 98.1 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (test-dev)
F-measure (Decay)· 2018-02-04
17.4
best: 37.2 (RGMP)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (test-dev)
F-measure (Recall)· 2018-02-04
47.4
best: 89.7 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (test-dev)
J&F· 2018-02-04
41.3
best: 88.1 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (test-dev)
Jaccard (Decay)· 2018-02-04
19
best: 35.7 (RVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (test-dev)
Jaccard (Mean)· 2018-02-04
37.7
best: 84.7 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonDAVIS 2017 (test-dev)
Jaccard (Recall)· 2018-02-04
38.9
best: 85.5 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonYouTube-VOS 2018
F-Measure (Seen)· 2018-02-04
60.1
best: 91 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonYouTube-VOS 2018
F-Measure (Unseen)· 2018-02-04
44
best: 90.2 (XMem (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonYouTube-VOS 2018
Jaccard (Unseen)· 2018-02-04
40.6
best: 82.2 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonYouTube-VOS 2018
Overall· 2018-02-04
51.2
best: 87.5 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
VideoonYouTube-VOS 2018
Jaccard (Seen)· 2018-02-04
60
best: 86.6 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Object TrackingonYouTube-VOS 2018
F-Measure (Seen)· 2018-02-04
60.1
best: 86.7 (TransVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Object TrackingonYouTube-VOS 2018
F-Measure (Unseen)· 2018-02-04
44
best: 83.4 (TransVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Object TrackingonYouTube-VOS 2018
Jaccard (Seen)· 2018-02-04
60
best: 73.5 (PTSNet)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Object TrackingonYouTube-VOS 2018
O (Average of Measures)· 2018-02-04
51.2
best: 58.8 (OSVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Decay)· 2018-02-04
24.3
best: 85.3 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2018-02-04
57.1
best: 93.4 (Cutie+ (base))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Recall)· 2018-02-04
66.1
best: 94.6 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (val)
J&F· 2018-02-04
54.8
best: 90.7 (SAM2)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Decay)· 2018-02-04
21.5
best: 32.5 (MuG-W)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2018-02-04
52.5
best: 87.5 (Cutie+ (base))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Recall)· 2018-02-04
60.9
best: 91.4 (ISVOS (MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2016
F-measure (Decay)· 2018-02-04
10.6
best: 27.2 (OFL)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2016
F-measure (Mean)· 2018-02-04
72.9
best: 94.7 (SwinB-DeAOT-L)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2016
F-measure (Recall)· 2018-02-04
84
best: 97.1 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2016
J&F· 2018-02-04
73.45
best: 93.4 (ISVOS (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2016
Jaccard (Decay)· 2018-02-04
9
best: 28.9 (BVS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2016
Jaccard (Mean)· 2018-02-04
74
best: 92.5 (ISVOS (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2016
Jaccard (Recall)· 2018-02-04
87.6
best: 98.1 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Decay)· 2018-02-04
17.4
best: 37.2 (RGMP)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Recall)· 2018-02-04
47.4
best: 89.7 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (test-dev)
J&F· 2018-02-04
41.3
best: 88.1 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Decay)· 2018-02-04
19
best: 35.7 (RVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Mean)· 2018-02-04
37.7
best: 84.7 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Recall)· 2018-02-04
38.9
best: 85.5 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· 2018-02-04
60.1
best: 91 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· 2018-02-04
44
best: 90.2 (XMem (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· 2018-02-04
40.6
best: 82.2 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonYouTube-VOS 2018
Overall· 2018-02-04
51.2
best: 87.5 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2018-02-04
60
best: 86.6 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Decay)· 2018-02-04
24.3
best: 85.3 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2018-02-04
57.1
best: 93.4 (Cutie+ (base))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Recall)· 2018-02-04
66.1
best: 94.6 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
J&F· 2018-02-04
54.8
best: 90.7 (SAM2)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Decay)· 2018-02-04
21.5
best: 32.5 (MuG-W)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2018-02-04
52.5
best: 87.5 (Cutie+ (base))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Recall)· 2018-02-04
60.9
best: 91.4 (ISVOS (MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2016
F-measure (Decay)· 2018-02-04
10.6
best: 27.2 (OFL)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2016
F-measure (Mean)· 2018-02-04
72.9
best: 94.7 (SwinB-DeAOT-L)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2016
F-measure (Recall)· 2018-02-04
84
best: 97.1 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2016
J&F· 2018-02-04
73.45
best: 93.4 (ISVOS (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2016
Jaccard (Decay)· 2018-02-04
9
best: 28.9 (BVS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2016
Jaccard (Mean)· 2018-02-04
74
best: 92.5 (ISVOS (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2016
Jaccard (Recall)· 2018-02-04
87.6
best: 98.1 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Decay)· 2018-02-04
17.4
best: 37.2 (RGMP)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Recall)· 2018-02-04
47.4
best: 89.7 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
J&F· 2018-02-04
41.3
best: 88.1 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Decay)· 2018-02-04
19
best: 35.7 (RVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Mean)· 2018-02-04
37.7
best: 84.7 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Recall)· 2018-02-04
38.9
best: 85.5 (STCN)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· 2018-02-04
60.1
best: 91 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· 2018-02-04
44
best: 90.2 (XMem (BL30K, MS))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· 2018-02-04
40.6
best: 82.2 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Overall· 2018-02-04
51.2
best: 87.5 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2018-02-04
60
best: 86.6 (Cutie+ (base, MEGA))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Video Instance SegmentationonYouTube-VIS validation
AP50· 2018-02-04
28.6
best: 89.3 (CAVIS(ViT-L, Online))
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Visual Object TrackingonYouTube-VOS 2018
F-Measure (Seen)· 2018-02-04
60.1
best: 86.7 (TransVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Visual Object TrackingonYouTube-VOS 2018
F-Measure (Unseen)· 2018-02-04
44
best: 83.4 (TransVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Visual Object TrackingonYouTube-VOS 2018
Jaccard (Seen)· 2018-02-04
60
best: 73.5 (PTSNet)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218
Visual Object TrackingonYouTube-VOS 2018
O (Average of Measures)· 2018-02-04
51.2
best: 58.8 (OSVOS)
Efficient Video Object Segmentation via Network Modulation arXiv:1802.01218