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Semi-Supervised Video Object Segmentation
Semi Supervised Video Object Segmentation On 1
Semi Supervised Video Object Segmentation On 1
Metrics
F-measure (Mean)
FPS
Ju0026F
Jaccard (Mean)
Results
Performance results of various models on this benchmark
Columns
Model Name
F-measure (Mean)
FPS
Ju0026F
Jaccard (Mean)
Paper Title
Cutie+ (base, MEGA)
91.4
17.9
88.1
84.7
Putting the Object Back into Video Object Segmentation
Cutie (base, MEGA)
89.9
36.4
86.1
82.4
Putting the Object Back into Video Object Segmentation
Cutie+ (base)
89.2
17.9
85.9
82.6
Putting the Object Back into Video Object Segmentation
SwinB-AOST (L'=3, MS)
88.5
1.3
84.7
80.9
Scalable Video Object Segmentation with Identification Mechanism
SwinB-AOTv2-L
87.9
1.3
84.5
81.0
Scalable Video Object Segmentation with Identification Mechanism
JIMD-R50
87.4
-
83.9
80.3
Memory Matching is not Enough: Jointly Improving Memory Matching and Decoding for Video Object Segmentation
XMem (BL30K, MS)
87.0
-
83.7
80.5
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
DEVA
86.8
25.3
83.2
79.6
Tracking Anything with Decoupled Video Segmentation
XMem (MS)
86.4
-
83.1
79.7
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
SwinB-DeAOT-L
86.7
15.4
82.8
78.9
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
SwinB-AOST (L'=3)
86.6
12.0
82.7
78.8
Scalable Video Object Segmentation with Identification Mechanism
XMem (BL30K, 600p)
85.8
-
82.5
79.1
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
QDMN
85.4
-
81.9
78.1
Learning Quality-aware Dynamic Memory for Video Object Segmentation
XMem (BL30K)
84.7
-
81.2
77.6
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
SwinB-AOT-L
85.1
12.1
81.2
77.3
Associating Objects with Transformers for Video Object Segmentation
RPCMVOS-Full-Res
84.3
-
81
77.6
Reliable Propagation-Correction Modulation for Video Object Segmentation
XMem
84.5
-
81.0
77.4
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
R50-DeAOT-L
84.5
27.0
80.7
76.9
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
R50-AOST (L'=3)
83.6
17.5
79.9
76.2
Scalable Video Object Segmentation with Identification Mechanism
STCN
83.5
-
79.9
76.3
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
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