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SOTA
Semi Supervised Video Object Segmentation
Visual Object Tracking On Davis 2017
Visual Object Tracking On Davis 2017
评估指标
F-measure (Mean)
Ju0026F
Jaccard (Mean)
Params(M)
Speed (FPS)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
F-measure (Mean)
Ju0026F
Jaccard (Mean)
Params(M)
Speed (FPS)
Paper Title
Repository
DeAOT-S
83.8
80.8
77.8
10.2
49.2
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
DeAOT-L
87.1
84.1
81.0
13.2
28.5
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
AOT-S
83.9
81.3
78.7
7.0
40.0
Associating Objects with Transformers for Video Object Segmentation
XMem (MS)
91.0
88.2
85.4
-
-
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
MuG-W
58.0
56.05
54.1
-
-
Learning Video Object Segmentation from Unlabeled Videos
SwinB-AOST (L'=3, MS)
89.5
86.7
83.8
65.6
1.3
Scalable Video Object Segmentation with Identification Mechanism
TVOS
74.7
72.3
69.9
-
-
A Transductive Approach for Video Object Segmentation
RPCMVOS
86
83.7
81.3
-
-
Reliable Propagation-Correction Modulation for Video Object Segmentation
R50-AOST (L'=1)
86.1
83.7
81.2
12.5
37.4
Scalable Video Object Segmentation with Identification Mechanism
SwinB-AOT-L
88.4
85.4
82.4
65.4
12.1
Associating Objects with Transformers for Video Object Segmentation
SwinB-AOTv2-L
89.4
86.3
83.1
65.6
12.0
Scalable Video Object Segmentation with Identification Mechanism
SwinB-AOTv2-L (MS)
89.8
87.0
84.2
65.6
1.3
Scalable Video Object Segmentation with Identification Mechanism
JOINT
81.2
78.6
76.0
-
-
Joint Inductive and Transductive Learning for Video Object Segmentation
UVC
61.3
59.5
57.7
-
-
Joint-task Self-supervised Learning for Temporal Correspondence
XMem (BL30K, MS)
92.6
89.5
86.3
-
-
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
OSVOS-S
71.3
68
64.7
-
-
Video Object Segmentation Without Temporal Information
-
DEVA
91.0
87.6
84.2
-
25.3
Tracking Anything with Decoupled Video Segmentation
Spatiotemporal CNN
64.6
61.65
58.7
-
-
Spatiotemporal CNN for Video Object Segmentation
XMem (DAVIS only)
79.3
76.7
74.1
-
22.6
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
MAMP
71.2
69.7
68.3
-
-
Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
0 of 82 row(s) selected.
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