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المنصة
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SOTA
التفريق شبه المشرف على الأشياء في الفيديو
Visual Object Tracking On Davis 2017
Visual Object Tracking On Davis 2017
المقاييس
F-measure (Mean)
Ju0026F
Jaccard (Mean)
Params(M)
Speed (FPS)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
F-measure (Mean)
Ju0026F
Jaccard (Mean)
Params(M)
Speed (FPS)
Paper Title
SAM2
-
90.7
-
224.4
-
SAM 2: Segment Anything in Images and Videos
Cutie+ (base)
93.4
90.5
87.5
17.9
-
Putting the Object Back into Video Object Segmentation
ISVOS (BL30K, MS)
93.0
89.8
86.7
-
-
Look Before You Match: Instance Understanding Matters in Video Object Segmentation
XMem (BL30K, MS)
92.6
89.5
86.3
-
-
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
ISVOS (MS)
-
88.6
85.8
-
-
Look Before You Match: Instance Understanding Matters in Video Object Segmentation
XMem (MS)
91.0
88.2
85.4
-
-
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
ISVOS (BL30K)
91.9
88.2
84.5
-
-
Look Before You Match: Instance Understanding Matters in Video Object Segmentation
Cutie+ (base, MEGA)
90.8
88.1
85.5
-
17.9
Putting the Object Back into Video Object Segmentation
JIMD
91.0
88.1
85.2
-
-
Memory Matching is not Enough: Jointly Improving Memory Matching and Decoding for Video Object Segmentation
Cutie (base)
91.1
87.9
84.6
36.4
-
Putting the Object Back into Video Object Segmentation
XMem (BL30K)
91.4
87.7
84.0
-
22.6
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
DEVA
91.0
87.6
84.2
-
25.3
Tracking Anything with Decoupled Video Segmentation
SwinB-AOTv2-L (MS)
89.8
87.0
84.2
65.6
1.3
Scalable Video Object Segmentation with Identification Mechanism
SwinB-AOST (L'=3, MS)
89.5
86.7
83.8
65.6
1.3
Scalable Video Object Segmentation with Identification Mechanism
SwinB-AOTv2-L
89.4
86.3
83.1
65.6
12.0
Scalable Video Object Segmentation with Identification Mechanism
XMem
89.5
86.2
82.9
-
22.6
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
SwinB-DeAOT-L
89.2
86.2
83.1
70.3
15.4
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
RAVOS
89.3
86.1
82.9
-
42 (on 3090)
Region Aware Video Object Segmentation with Deep Motion Modeling
QDMN
88.6
85.6
82.5
-
-
Learning Quality-aware Dynamic Memory for Video Object Segmentation
R50-AOST (L'=3)
88.5
85.6
82.6
15.4
17.5
Scalable Video Object Segmentation with Identification Mechanism
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Visual Object Tracking On Davis 2017 | SOTA | HyperAI