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Video Object Segmentation
벤치마크
Video Object Segmentation on
DAVIS 2016
48개 결과 ·
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J&F
88.8
89.95
91.1
92.25
93.4
2021-06
2026-09
ViTAE-T-Stage — 89.8 (2021-06-07)
ViTAE-T-Stage — 89.8 (2021-06-07)
XMem (BL30K, MS) — 93.3 (2022-07-14)
XMem — 91.5 (2022-07-14)
XMem (BL30K, MS) — 93.3 (2022-07-14)
XMem — 91.5 (2022-07-14)
BATMAN (val) — 92.5 (2022-08-01)
STCN (val) — 91.6 (2022-08-01)
AOT (val) — 91.1 (2022-08-01)
LCM (val) — 90.7 (2022-08-01)
RPCMVOS (val) — 90.6 (2022-08-01)
KMN (val) — 90.5 (2022-08-01)
TransVOS (val) — 90.5 (2022-08-01)
CFBI+ (val) — 89.9 (2022-08-01)
CFBI (val) — 89.4 (2022-08-01)
RMN (val) — 88.8 (2022-08-01)
BATMAN (val) — 92.5 (2022-08-01)
STCN (val) — 91.6 (2022-08-01)
AOT (val) — 91.1 (2022-08-01)
LCM (val) — 90.7 (2022-08-01)
RPCMVOS (val) — 90.6 (2022-08-01)
KMN (val) — 90.5 (2022-08-01)
TransVOS (val) — 90.5 (2022-08-01)
CFBI+ (val) — 89.9 (2022-08-01)
CFBI (val) — 89.4 (2022-08-01)
RMN (val) — 88.8 (2022-08-01)
ISVOS (BL30K, MS) — 93.4 (2022-12-13)
ISVOS (BL30K, MS) — 93.4 (2022-12-13)
MobileVOS (val) — 91.4 (2023-03-14)
MobileVOS (val) — 91.4 (2023-03-14)
ViTAE-T-Stage — 89.8 (2021-06-07)
XMem (BL30K, MS) — 93.3 (2022-07-14)
ISVOS (BL30K, MS) — 93.4 (2022-12-13)
2021-06-07 — ViTAE-T-Stage: J&F 89.8
2022-07-14 — XMem (BL30K, MS): J&F 93.3
2022-12-13 — ISVOS (BL30K, MS): J&F 93.4
Rank
Model
J&F
F-Score
Jaccard (Mean)
mIoU
Contour Accuracy
Paper
Code
Year
21
VOSwL (Mask+Language)
–
–
–
84.5
–
Video Object Segmentation with Language Referring Expressions
2018
22
VOSwL (Language)
–
–
–
82.8
–
Video Object Segmentation with Language Referring Expressions
2018
23
LOCATE
–
–
–
80.9
88.7
LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training
silky1708/locate
2023
24
FODVid
–
–
–
78.71
–
FODVid: Flow-guided Object Discovery in Videos
2023
25
ISVOS (BL30K, MS)
93.4
94.2
92.5
–
–
Look Before You Match: Instance Understanding Matters in Video Object Segmentation
2022
26
XMem (BL30K, MS)
93.3
94.4
92.2
–
–
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
hkchengrex/XMem
·
tianyuan168326/videosemanticcompression-pytorch
2022
27
BATMAN (val)
92.5
94.2
90.7
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
28
STCN (val)
91.6
92.5
90.8
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
29
XMem
91.5
92.7
90.4
–
–
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
hkchengrex/XMem
·
tianyuan168326/videosemanticcompression-pytorch
2022
30
MobileVOS (val)
91.4
92.6
90.3
–
–
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation
2023
31
AOT (val)
91.1
92.1
90.1
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
32
LCM (val)
90.7
91.4
89.9
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
33
RPCMVOS (val)
90.6
94
87.1
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
34
KMN (val)
90.5
91.5
89.5
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
34
TransVOS (val)
90.5
91.2
89.8
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
36
CFBI+ (val)
89.9
91.1
88.7
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
37
ViTAE-T-Stage
89.8
90.4
89.2
–
–
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
ViTAE-Transformer/ViTAE-Transformer
·
Annbless/ViTAE
2021
38
CFBI (val)
89.4
90.5
88.3
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
39
RMN (val)
88.8
88.7
88.9
–
–
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
2022
40
AOC-MF (val)
–
94.7
88.5
–
–
Towards Robust Video Object Segmentation with Adaptive Object Calibration
jerryx1110/robust-video-object-segmentation
2022
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