TASK |
DATASET |
MODEL |
METRIC NAME |
METRIC VALUE |
GLOBAL RANK |
REMOVE |
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-S
|
Jaccard (Mean)
|
87.6
|
# 38
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-S
|
F-measure (Mean)
|
90.9
|
# 32
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-S
|
J&F
|
89.3
|
# 36
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-S
|
Speed (FPS)
|
49.2
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-T
|
Jaccard (Mean)
|
87.8
|
# 37
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-T
|
F-measure (Mean)
|
89.9
|
# 37
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-T
|
J&F
|
88.9
|
# 38
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-T
|
Speed (FPS)
|
63.5
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-B
|
Jaccard (Mean)
|
89.4
|
# 29
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-B
|
F-measure (Mean)
|
92.5
|
# 22
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-B
|
J&F
|
91.0
|
# 22
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-B
|
Speed (FPS)
|
40.9
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-L
|
Jaccard (Mean)
|
90.3
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-L
|
F-measure (Mean)
|
93.7
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-L
|
J&F
|
92.0
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
DeAOT-L
|
Speed (FPS)
|
28.5
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-DeAOT-L
|
Jaccard (Mean)
|
90.5
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-DeAOT-L
|
F-measure (Mean)
|
94.0
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-DeAOT-L
|
J&F
|
92.3
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
R50-DeAOT-L
|
Speed (FPS)
|
27.0
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-DeAOT-L
|
Jaccard (Mean)
|
91.1
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-DeAOT-L
|
F-measure (Mean)
|
94.7
|
# 1
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-DeAOT-L
|
J&F
|
92.9
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2016
|
SwinB-DeAOT-L
|
Speed (FPS)
|
15.4
|
# 27
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-T
|
J&F
|
73.7
|
# 36
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-T
|
Jaccard (Mean)
|
70.0
|
# 36
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-T
|
F-measure (Mean)
|
77.3
|
# 36
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-T
|
FPS
|
63.5
|
# 1
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-S
|
J&F
|
75.4
|
# 32
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-S
|
Jaccard (Mean)
|
71.9
|
# 31
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-S
|
F-measure (Mean)
|
79.0
|
# 32
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-S
|
FPS
|
49.2
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-B
|
J&F
|
76.2
|
# 30
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-B
|
Jaccard (Mean)
|
72.5
|
# 30
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-B
|
F-measure (Mean)
|
79.9
|
# 30
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-B
|
FPS
|
40.9
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-DeAOT-L
|
J&F
|
82.8
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-DeAOT-L
|
Jaccard (Mean)
|
78.9
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-DeAOT-L
|
F-measure (Mean)
|
86.7
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
SwinB-DeAOT-L
|
FPS
|
15.4
|
# 17
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-L
|
J&F
|
77.9
|
# 27
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-L
|
Jaccard (Mean)
|
74.1
|
# 27
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-L
|
F-measure (Mean)
|
81.7
|
# 25
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
DeAOT-L
|
FPS
|
28.5
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-DeAOT-L
|
J&F
|
80.7
|
# 17
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-DeAOT-L
|
Jaccard (Mean)
|
76.9
|
# 17
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-DeAOT-L
|
F-measure (Mean)
|
84.5
|
# 15
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (test-dev)
|
R50-DeAOT-L
|
FPS
|
27.0
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-B
|
Jaccard (Mean)
|
79.2
|
# 36
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-B
|
F-measure (Mean)
|
85.1
|
# 37
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-B
|
J&F
|
82.2
|
# 37
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-B
|
Speed (FPS)
|
40.9
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-B
|
Params(M)
|
13.2
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-T
|
Jaccard (Mean)
|
77.7
|
# 41
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-T
|
F-measure (Mean)
|
83.3
|
# 42
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-T
|
J&F
|
80.5
|
# 42
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-T
|
Speed (FPS)
|
63.5
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-T
|
Params(M)
|
7.2
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-DeAOT-L
|
Jaccard (Mean)
|
83.1
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-DeAOT-L
|
F-measure (Mean)
|
89.2
|
# 15
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-DeAOT-L
|
J&F
|
86.2
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-DeAOT-L
|
Speed (FPS)
|
15.4
|
# 25
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
SwinB-DeAOT-L
|
Params(M)
|
70.3
|
# 22
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-S
|
Jaccard (Mean)
|
77.8
|
# 40
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-S
|
F-measure (Mean)
|
83.8
|
# 41
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-S
|
J&F
|
80.8
|
# 41
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-S
|
Speed (FPS)
|
49.2
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-S
|
Params(M)
|
10.2
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-L
|
Jaccard (Mean)
|
81.0
|
# 31
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-L
|
F-measure (Mean)
|
87.1
|
# 28
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-L
|
J&F
|
84.1
|
# 28
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-L
|
Speed (FPS)
|
28.5
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
DeAOT-L
|
Params(M)
|
13.2
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-DeAOT-L
|
Jaccard (Mean)
|
82.2
|
# 22
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-DeAOT-L
|
F-measure (Mean)
|
88.2
|
# 22
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-DeAOT-L
|
J&F
|
85.2
|
# 23
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-DeAOT-L
|
Speed (FPS)
|
27.0
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
DAVIS 2017 (val)
|
R50-DeAOT-L
|
Params(M)
|
19.8
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
MOSE
|
DeAOT
|
J&F
|
59.4
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
MOSE
|
DeAOT
|
J
|
55.1
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
MOSE
|
DeAOT
|
F
|
63.8
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
R50-DeAOT-L
|
EAO
|
0.613
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
R50-DeAOT-L
|
EAO (real-time)
|
0.571
|
# 1
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
DeAOT-T
|
EAO
|
0.472
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
DeAOT-T
|
EAO (real-time)
|
0.463
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
DeAOT-S
|
EAO
|
0.593
|
# 4
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
DeAOT-S
|
EAO (real-time)
|
0.559
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
DeAOT-B
|
EAO
|
0.571
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
DeAOT-B
|
EAO (real-time)
|
0.542
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
DeAOT-L
|
EAO
|
0.591
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
DeAOT-L
|
EAO (real-time)
|
0.554
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
SwinB-DeAOT-L
|
EAO
|
0.622
|
# 1
|
|
Semi-Supervised Video Object Segmentation
|
VOT2020
|
SwinB-DeAOT-L
|
EAO (real-time)
|
0.559
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-DeAOT-L
|
F-Measure (Seen)
|
90.6
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-DeAOT-L
|
F-Measure (Unseen)
|
88.4
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-DeAOT-L
|
Overall
|
86.2
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-DeAOT-L
|
Jaccard (Seen)
|
85.6
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-DeAOT-L
|
Jaccard (Unseen)
|
80.0
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-DeAOT-L
|
Speed (FPS)
|
11.9
|
# 11
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
SwinB-DeAOT-L
|
Params(M)
|
70.3
|
# 23
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-T
|
F-Measure (Seen)
|
86.3
|
# 34
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-T
|
F-Measure (Unseen)
|
84.2
|
# 34
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-T
|
Overall
|
82.0
|
# 33
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-T
|
Jaccard (Seen)
|
81.6
|
# 34
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-T
|
Jaccard (Unseen)
|
75.8
|
# 34
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-T
|
Speed (FPS)
|
53.4
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-T
|
Params(M)
|
7.2
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-S
|
F-Measure (Seen)
|
88.3
|
# 22
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-S
|
F-Measure (Unseen)
|
86.6
|
# 22
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-S
|
Overall
|
84.0
|
# 24
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-S
|
Jaccard (Seen)
|
83.3
|
# 21
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-S
|
Jaccard (Unseen)
|
77.9
|
# 25
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-S
|
Speed (FPS)
|
38.7
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-S
|
Params(M)
|
10.2
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-B
|
F-Measure (Seen)
|
88.9
|
# 15
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-B
|
F-Measure (Unseen)
|
87.0
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-B
|
Overall
|
84.6
|
# 15
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-B
|
Jaccard (Seen)
|
83.9
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-B
|
Jaccard (Unseen)
|
78.5
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-B
|
Speed (FPS)
|
30.4
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-B
|
Params(M)
|
13.2
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-L
|
F-Measure (Seen)
|
89.4
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-L
|
Overall
|
84.8
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-L
|
Jaccard (Seen)
|
84.2
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-L
|
Jaccard (Unseen)
|
78.6
|
# 17
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
DeAOT-L
|
Speed (FPS)
|
24.7
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-DeAOT-L
|
F-Measure (Seen)
|
89.9
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-DeAOT-L
|
F-Measure (Unseen)
|
88.7
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-DeAOT-L
|
Overall
|
86.0
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-DeAOT-L
|
Jaccard (Seen)
|
84.9
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-DeAOT-L
|
Jaccard (Unseen)
|
80.4
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-DeAOT-L
|
Speed (FPS)
|
22.4
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2018
|
R50-DeAOT-L
|
Params(M)
|
19.8
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-DeAOT-L
|
Overall
|
85.9
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-DeAOT-L
|
Jaccard (Seen)
|
84.6
|
# 8
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-DeAOT-L
|
Jaccard (Unseen)
|
80.8
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-DeAOT-L
|
F-Measure (Seen)
|
89.4
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-DeAOT-L
|
F-Measure (Unseen)
|
88.9
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
R50-DeAOT-L
|
FPS
|
22.4
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-T
|
Overall
|
82.0
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-T
|
Jaccard (Seen)
|
81.2
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-T
|
Jaccard (Unseen)
|
76.4
|
# 21
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-T
|
F-Measure (Seen)
|
85.6
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-T
|
F-Measure (Unseen)
|
84.7
|
# 20
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-T
|
FPS
|
53.4
|
# 1
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-L
|
Overall
|
84.7
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-L
|
Jaccard (Seen)
|
83.8
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-L
|
Jaccard (Unseen)
|
79.0
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-L
|
F-Measure (Seen)
|
88.8
|
# 10
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-L
|
F-Measure (Unseen)
|
87.2
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-L
|
FPS
|
24.7
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-S
|
Overall
|
83.8
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-S
|
Jaccard (Seen)
|
82.8
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-S
|
Jaccard (Unseen)
|
78.1
|
# 19
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-S
|
F-Measure (Seen)
|
87.5
|
# 16
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-S
|
F-Measure (Unseen)
|
86.8
|
# 18
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-S
|
FPS
|
38.7
|
# 2
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-DeAOT-L
|
Overall
|
86.1
|
# 6
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-DeAOT-L
|
Jaccard (Seen)
|
85.3
|
# 5
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-DeAOT-L
|
Jaccard (Unseen)
|
80.4
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-DeAOT-L
|
F-Measure (Seen)
|
90.2
|
# 3
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-DeAOT-L
|
F-Measure (Unseen)
|
88.6
|
# 9
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
SwinB-DeAOT-L
|
FPS
|
11.9
|
# 7
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-B
|
Overall
|
84.6
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-B
|
Jaccard (Seen)
|
83.5
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-B
|
Jaccard (Unseen)
|
79.1
|
# 14
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-B
|
F-Measure (Seen)
|
88.3
|
# 12
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-B
|
F-Measure (Unseen)
|
87.5
|
# 13
|
|
Semi-Supervised Video Object Segmentation
|
YouTube-VOS 2019
|
DeAOT-B
|
FPS
|
30.4
|
# 3
|
|