TASK |
DATASET |
MODEL |
METRIC NAME |
METRIC VALUE |
GLOBAL RANK |
REMOVE |
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=1)
|
Jaccard (Mean)
|
89.6
|
# 24
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=1)
|
F-measure (Mean)
|
90.9
|
# 32
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=1)
|
J&F
|
90.3
|
# 30
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=1)
|
Speed (FPS)
|
37.4
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOTv2-L (MS)
|
Jaccard (Mean)
|
91.6
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOTv2-L (MS)
|
F-measure (Mean)
|
94.4
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOTv2-L (MS)
|
J&F
|
93.0
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOTv2-L (MS)
|
Speed (FPS)
|
1.3
|
# 31
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOST (L'=3, MS)
|
Jaccard (Mean)
|
91.5
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOST (L'=3, MS)
|
F-measure (Mean)
|
94.5
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOST (L'=3, MS)
|
J&F
|
93.0
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOST (L'=3, MS)
|
Speed (FPS)
|
1.3
|
# 31
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=3)
|
Jaccard (Mean)
|
90.6
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=3)
|
F-measure (Mean)
|
93.6
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=3)
|
J&F
|
92.1
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=3)
|
Speed (FPS)
|
17.5
|
# 25
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOST (L'=3)
|
Jaccard (Mean)
|
90.5
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOST (L'=3)
|
F-measure (Mean)
|
94.2
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOST (L'=3)
|
J&F
|
92.4
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOST (L'=3)
|
Speed (FPS)
|
12.0
|
# 29
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOTv2-L
|
Jaccard (Mean)
|
90.6
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOTv2-L
|
F-measure (Mean)
|
94.1
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOTv2-L
|
J&F
|
92.4
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-AOTv2-L
|
Speed (FPS)
|
12.0
|
# 29
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=2)
|
Jaccard (Mean)
|
90.5
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=2)
|
F-measure (Mean)
|
93.4
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=2)
|
J&F
|
92.0
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-AOST (L'=2)
|
Speed (FPS)
|
24.3
|
# 21
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-AOST (L'=3)
|
J&F
|
79.9
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-AOST (L'=3)
|
Jaccard (Mean)
|
76.2
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-AOST (L'=3)
|
F-measure (Mean)
|
83.6
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-AOST (L'=3)
|
FPS
|
17.5
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOST (L'=3, MS)
|
J&F
|
84.7
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOST (L'=3, MS)
|
Jaccard (Mean)
|
80.9
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOST (L'=3, MS)
|
F-measure (Mean)
|
88.5
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOST (L'=3, MS)
|
FPS
|
1.3
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-AOST (L'=2)
|
J&F
|
78.1
|
# 25
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-AOST (L'=2)
|
Jaccard (Mean)
|
74.5
|
# 24
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-AOST (L'=2)
|
F-measure (Mean)
|
81.7
|
# 25
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-AOST (L'=2)
|
FPS
|
24.3
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOST (L'=3)
|
J&F
|
82.7
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOST (L'=3)
|
Jaccard (Mean)
|
78.8
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOST (L'=3)
|
F-measure (Mean)
|
86.6
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOST (L'=3)
|
FPS
|
12.0
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOTv2-L
|
J&F
|
84.5
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOTv2-L
|
Jaccard (Mean)
|
81.0
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOTv2-L
|
F-measure (Mean)
|
87.9
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-AOTv2-L
|
FPS
|
1.3
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L (MS)
|
Jaccard (Mean)
|
84.2
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L (MS)
|
F-measure (Mean)
|
89.8
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L (MS)
|
J&F
|
87.0
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L (MS)
|
Speed (FPS)
|
1.3
|
# 29
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L (MS)
|
Params(M)
|
65.6
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=1)
|
Jaccard (Mean)
|
81.2
|
# 29
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=1)
|
F-measure (Mean)
|
86.1
|
# 31
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=1)
|
J&F
|
83.7
|
# 30
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=1)
|
Speed (FPS)
|
37.4
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=1)
|
Params(M)
|
12.5
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=2)
|
Jaccard (Mean)
|
82.5
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=2)
|
F-measure (Mean)
|
88.0
|
# 23
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=2)
|
J&F
|
85.3
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=2)
|
Speed (FPS)
|
24.3
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=2)
|
Params(M)
|
13.9
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=3)
|
Jaccard (Mean)
|
82.6
|
# 17
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=3)
|
F-measure (Mean)
|
88.5
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=3)
|
J&F
|
85.6
|
# 17
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=3)
|
Speed (FPS)
|
17.5
|
# 24
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-AOST (L'=3)
|
Params(M)
|
15.4
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOST (L'=3, MS)
|
Jaccard (Mean)
|
83.8
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOST (L'=3, MS)
|
F-measure (Mean)
|
89.5
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOST (L'=3, MS)
|
J&F
|
86.7
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOST (L'=3, MS)
|
Speed (FPS)
|
1.3
|
# 29
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOST (L'=3, MS)
|
Params(M)
|
65.6
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L
|
Jaccard (Mean)
|
83.1
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L
|
F-measure (Mean)
|
89.4
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L
|
J&F
|
86.3
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L
|
Speed (FPS)
|
12.0
|
# 27
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-AOTv2-L
|
Params(M)
|
65.6
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames, MS)
|
F-Measure (Seen)
|
90.7
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames, MS)
|
F-Measure (Unseen)
|
88.9
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames, MS)
|
Overall
|
86.5
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames, MS)
|
Jaccard (Seen)
|
85.6
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames, MS)
|
Jaccard (Unseen)
|
80.7
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames, MS)
|
Speed (FPS)
|
0.7
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames, MS)
|
Params(M)
|
65.6
|
# 21
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames)
|
F-Measure (Seen)
|
90.1
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames)
|
F-Measure (Unseen)
|
88.2
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames)
|
Overall
|
85.8
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames)
|
Jaccard (Unseen)
|
79.6
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-AOTv2-L (all frames)
|
Speed (FPS)
|
5.1
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=3)
|
F-Measure (Seen)
|
88.8
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=3)
|
F-Measure (Unseen)
|
87.9
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=3)
|
Overall
|
85.0
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=3)
|
Jaccard (Seen)
|
83.8
|
# 15
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=3)
|
Jaccard (Unseen)
|
79.3
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=3)
|
Speed (FPS)
|
14.9
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=3)
|
Params(M)
|
15.4
|
# 17
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=1)
|
F-Measure (Seen)
|
86.1
|
# 35
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=1)
|
F-Measure (Unseen)
|
83.5
|
# 35
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=1)
|
Overall
|
81.6
|
# 35
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=1)
|
Jaccard (Seen)
|
81.4
|
# 35
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=1)
|
Jaccard (Unseen)
|
75.5
|
# 36
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=1)
|
Speed (FPS)
|
30.9
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=1)
|
Params(M)
|
12.5
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=2)
|
F-Measure (Seen)
|
88.5
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=2)
|
F-Measure (Unseen)
|
87.2
|
# 15
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=2)
|
Overall
|
84.5
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=2)
|
Jaccard (Seen)
|
83.5
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=2)
|
Jaccard (Unseen)
|
78.8
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=2)
|
Speed (FPS)
|
20.2
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOST (L'=2)
|
Params(M)
|
13.9
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOTv2-L (all frames)
|
F-Measure (Seen)
|
90.2
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOTv2-L (all frames)
|
F-Measure (Unseen)
|
87.3
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOTv2-L (all frames)
|
Overall
|
85.4
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOTv2-L (all frames)
|
Jaccard (Seen)
|
85.1
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOTv2-L (all frames)
|
Jaccard (Unseen)
|
78.9
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOTv2-L (all frames)
|
Speed (FPS)
|
6.3
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-AOTv2-L (all frames)
|
Params(M)
|
15.1
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=1)
|
Overall
|
81.5
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=1)
|
Jaccard (Seen)
|
81.0
|
# 21
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=1)
|
Jaccard (Unseen)
|
754.8
|
# 1
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=1)
|
F-Measure (Seen)
|
85.6
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=1)
|
F-Measure (Unseen)
|
83.8
|
# 22
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames, MS)
|
Overall
|
86.5
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames, MS)
|
Jaccard (Seen)
|
85.5
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames, MS)
|
Jaccard (Unseen)
|
81.0
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames, MS)
|
F-Measure (Seen)
|
90.3
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames, MS)
|
F-Measure (Unseen)
|
89.1
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=3)
|
Overall
|
84.9
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=3)
|
Jaccard (Seen)
|
83.8
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=3)
|
Jaccard (Unseen)
|
79.3
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=3)
|
F-Measure (Seen)
|
88.7
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=3)
|
F-Measure (Unseen)
|
87.7
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=2)
|
Overall
|
84.3
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=2)
|
Jaccard (Seen)
|
83.3
|
# 15
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=2)
|
Jaccard (Unseen)
|
78.9
|
# 17
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=2)
|
F-Measure (Seen)
|
88.0
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-AOST (L'=2)
|
F-Measure (Unseen)
|
87.1
|
# 15
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames)
|
Overall
|
85.2
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames)
|
Jaccard (Seen)
|
84.2
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames)
|
Jaccard (Unseen)
|
79.8
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames)
|
F-Measure (Seen)
|
88.9
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-AOTv2-L (all frames)
|
F-Measure (Unseen)
|
88.0
|
# 10
|
|