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Models/CFBI

CFBI

Reported on 93 benchmarks across 5 tasks · 2 papers · 44 SOTA

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

Computer Vision97 results

VideoonYouTube-VOS 2018
F-Measure (Seen)· 2020-03-18
85.8
best: 91 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonYouTube-VOS 2018
Jaccard (Seen)· 2020-03-18
81.1
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2017 (val)
Mean Jaccard & F-Measure· 2020-03-18
81.9
best: 89.5 (XMem (BLK30K, MS))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2017 (val)
F-measure (Mean)· 2020-03-18
84.6
best: 93.4 (Cutie+ (base))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2017 (val)
J&F· 2020-03-18
81.9
best: 90.7 (SAM2)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2016
F-measure (Mean)· 2020-03-18
90.5
best: 94.7 (SwinB-DeAOT-L)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2017 (test-dev)
F-measure (Mean)· 2020-03-18
78.5
best: 91.4 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2017 (test-dev)
J&F· 2020-03-18
74.8
best: 88.1 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2017 (test-dev)
Jaccard (Mean)· 2020-03-18
71.1
best: 84.7 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-03-18
77.7
best: 83.1 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-03-18
74.9
best: 80.4 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-03-18
72.1
best: 77.7 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonYouTube-VOS 2018
Jaccard (Unseen)· 2020-03-18
75.3
best: 82.2 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonYouTube-VOS 2018
Overall· 2020-03-18
81.4
best: 87.5 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonYouTube-VOS 2018
Params(M)· 2020-03-18
66.3
best: 70.3 (SwinB-DeAOT-L)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· 2020-03-18
85.8
best: 91 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2020-03-18
81.1
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2017 (val)
Mean Jaccard & F-Measure· 2020-03-18
81.9
best: 89.5 (XMem (BLK30K, MS))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2020-03-18
84.6
best: 93.4 (Cutie+ (base))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2017 (val)
J&F· 2020-03-18
81.9
best: 90.7 (SAM2)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2016
F-measure (Mean)· 2020-03-18
90.5
best: 94.7 (SwinB-DeAOT-L)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Mean)· 2020-03-18
78.5
best: 91.4 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2017 (test-dev)
J&F· 2020-03-18
74.8
best: 88.1 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Mean)· 2020-03-18
71.1
best: 84.7 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-03-18
77.7
best: 83.1 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-03-18
74.9
best: 80.4 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-03-18
72.1
best: 77.7 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· 2020-03-18
75.3
best: 82.2 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonYouTube-VOS 2018
Overall· 2020-03-18
81.4
best: 87.5 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonYouTube-VOS 2018
Params(M)· 2020-03-18
66.3
best: 70.3 (SwinB-DeAOT-L)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2020-03-18
84.6
best: 93.4 (Cutie+ (base))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
J&F· 2020-03-18
81.9
best: 90.7 (SAM2)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2016
F-measure (Mean)· 2020-03-18
90.5
best: 94.7 (SwinB-DeAOT-L)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Mean)· 2020-03-18
78.5
best: 91.4 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
J&F· 2020-03-18
74.8
best: 88.1 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Mean)· 2020-03-18
71.1
best: 84.7 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-03-18
77.7
best: 83.1 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-03-18
74.9
best: 80.4 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-03-18
72.1
best: 77.7 (HMMN)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· 2020-03-18
85.8
best: 91 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2020-03-18
81.1
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· 2020-03-18
75.3
best: 82.2 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Overall· 2020-03-18
81.4
best: 87.5 (Cutie+ (base, MEGA))
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Params(M)· 2020-03-18
66.3
best: 70.3 (SwinB-DeAOT-L)
SOTA
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonYouTube-VOS 2019
F-Measure (Seen)· 2022-08-01
85.1
best: 90.6 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2019
F-Measure (Unseen)· 2022-08-01
83
best: 90.5 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2019
Jaccard (Seen)· 2022-08-01
80.6
best: 86.3 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2019
Jaccard (Unseen)· 2022-08-01
75.2
best: 754.8 (R50-AOST (L'=1))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2019
Mean Jaccard & F-Measure· 2022-08-01
81
best: 86.8 (XMem (BL30K,MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (test-dev)
F-measure· 2022-08-01
78.7
best: 86.1 (BATMAN)
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (test-dev)
Jaccard· 2022-08-01
71.4
best: 78.4 (BATMAN)
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (test-dev)
Mean Jaccard & F-Measure· 2022-08-01
75
best: 82.2 (BATMAN)
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (val)
F-measure· 2022-08-01
84.5
best: 92.6 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (val)
Jaccard· 2022-08-01
79.3
best: 86.3 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2018
F-Measure (Unseen)· 2022-08-01
83.4
best: 90.2 (XMem (BL30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Object TrackingonYouTube-VOS 2018
F-Measure (Unseen)· 2022-08-01
83.4
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2019
F-Measure (Seen)· 2022-08-01
85.1
best: 90.6 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2019
F-Measure (Unseen)· 2022-08-01
83
best: 90.5 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2019
Jaccard (Seen)· 2022-08-01
80.6
best: 86.3 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2019
Jaccard (Unseen)· 2022-08-01
75.2
best: 754.8 (R50-AOST (L'=1))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2019
Mean Jaccard & F-Measure· 2022-08-01
81
best: 86.8 (XMem (BL30K,MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure· 2022-08-01
78.7
best: 86.1 (BATMAN)
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard· 2022-08-01
71.4
best: 78.4 (BATMAN)
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonDAVIS 2017 (test-dev)
Mean Jaccard & F-Measure· 2022-08-01
75
best: 82.2 (BATMAN)
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonDAVIS 2017 (val)
F-measure· 2022-08-01
84.5
best: 92.6 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonDAVIS 2017 (val)
Jaccard· 2022-08-01
79.3
best: 86.3 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· 2022-08-01
83.4
best: 90.2 (XMem (BL30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· 2022-08-01
83.4
best: 90.2 (XMem (BL30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Visual Object TrackingonYouTube-VOS 2018
F-Measure (Unseen)· 2022-08-01
83.4
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (val)
Jaccard (Mean)· 2020-03-18
79.1
best: 87.5 (Cutie+ (base))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2016
J&F· 2020-03-18
89.4
best: 93.4 (ISVOS (BL30K, MS))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS 2016
Jaccard (Mean)· 2020-03-18
88.3
best: 92.5 (ISVOS (BL30K, MS))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS (no YouTube-VOS training)
D16 val (F)· 2020-03-18
86.9
best: 90.6 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS (no YouTube-VOS training)
D16 val (G)· 2020-03-18
86.1
best: 89.4 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS (no YouTube-VOS training)
D16 val (J)· 2020-03-18
85.3
best: 88.2 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonDAVIS (no YouTube-VOS training)
FPS· 2020-03-18
5.56
best: 50.1 (TBD)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonYouTube-VOS 2018
F-Measure (Seen)· 2020-03-18
85.8
best: 91 (Cutie+ (base, MEGA))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonYouTube-VOS 2018
Jaccard (Seen)· 2020-03-18
81.1
best: 86.6 (Cutie+ (base, MEGA))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
VideoonYouTube-VOS 2018
Speed (FPS)· 2020-03-18
3.4
best: 65.9 (FRTM)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2020-03-18
79.1
best: 87.5 (Cutie+ (base))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2016
J&F· 2020-03-18
89.4
best: 93.4 (ISVOS (BL30K, MS))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS 2016
Jaccard (Mean)· 2020-03-18
88.3
best: 92.5 (ISVOS (BL30K, MS))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (F)· 2020-03-18
86.9
best: 90.6 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (G)· 2020-03-18
86.1
best: 89.4 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (J)· 2020-03-18
85.3
best: 88.2 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2020-03-18
5.56
best: 50.1 (TBD)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· 2020-03-18
85.8
best: 91 (Cutie+ (base, MEGA))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2020-03-18
81.1
best: 86.6 (Cutie+ (base, MEGA))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Video Object SegmentationonYouTube-VOS 2018
Speed (FPS)· 2020-03-18
3.4
best: 65.9 (FRTM)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2020-03-18
79.1
best: 87.5 (Cutie+ (base))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2016
J&F· 2020-03-18
89.4
best: 93.4 (ISVOS (BL30K, MS))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS 2016
Jaccard (Mean)· 2020-03-18
88.3
best: 92.5 (ISVOS (BL30K, MS))
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (F)· 2020-03-18
86.9
best: 90.6 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (G)· 2020-03-18
86.1
best: 89.4 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (J)· 2020-03-18
85.3
best: 88.2 (HMMN)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2020-03-18
5.56
best: 50.1 (TBD)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Speed (FPS)· 2020-03-18
3.4
best: 65.9 (FRTM)
Collaborative Video Object Segmentation by Foreground-Background Integration arXiv:2003.08333