Video on DAVIS 2016 val

Metric: F (higher is better)

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#	Model↕	F▼	Extra Data	Paper	Date↕	Code
1	DEVA (DIS)	90.2	Yes	Tracking Anything with Decoupled Video Segmentat...	2023-09-07	Code
2	GSANet	89.6	No	Guided Slot Attention for Unsupervised Video Obj...	2023-03-15	Code
3	FakeFlow	89	No	Improving Unsupervised Video Object Segmentation...	2024-07-16	-
4	DPA	88.4	No	Dual Prototype Attention for Unsupervised Video ...	2022-11-22	Code
5	TMO (MiT-b1)	87.8	No	Treating Motion as Option to Reduce Motion Depen...	2022-09-04	Code
6	AMP	87.5	No	Adaptive Multi-source Predictor for Zero-shot Vi...	2023-03-18	Code
7	IMP	86.7	No	Iteratively Selecting an Easy Reference Frame Ma...	2021-12-23	-
8	TMO (RN-101)	86.6	No	Treating Motion as Option to Reduce Motion Depen...	2022-09-04	Code
9	DLDA	86.6	Yes	Self-supervised Video Object Segmentation with D...	2024-01-25	-
10	D2Conv3D	86.5	No	-	-	Code
11	PMN	86.4	No	Unsupervised Video Object Segmentation via Proto...	2022-09-08	Code
12	TransportNet	85	No	-	-	-
13	RTNet	84.7	No	-	-	Code
14	3DC-Seg	84.7	No	Making a Case for 3D Convolutions for Object Seg...	2020-08-26	Code
15	AMC-Net	84.6	No	-	-	Code
16	FSNet	83.1	No	Full-Duplex Strategy for Video Object Segmentation	2021-08-06	Code
17	DFNet	81.8	No	Learning Discriminative Feature with CRF for Uns...	2020-08-04	-
18	MATNet	80.7	No	Motion-Attentive Transition for Zero-Shot Video ...	2020-03-09	Code
19	WCS-Net	80.7	No	-	-	-
20	AD-Net	80.5	No	Anchor Diffusion for Unsupervised Video Object S...	2019-10-24	Code
21	COSNet	79.4	No	See More, Know More: Unsupervised Video Object S...	2020-01-19	Code
22	AGNN	79.1	No	Zero-Shot Video Object Segmentation via Attentiv...	2020-01-19	Code
23	AGS	77.4	No	-	-	Code
24	PDB	74.5	No	-	-	-
25	F2Net	54.4	No	F2Net: Learning to Focus on the Foreground for U...	2020-12-04	-

#1DEVA (DIS)SOTA
90.2
F· Extra Data· 2023-09-07
Tracking Anything with Decoupled Video Segmentation Code
#2GSANetSOTA
89.6
F· 2023-03-15
Guided Slot Attention for Unsupervised Video Object Segmentation Code
#3FakeFlow
89
F· 2024-07-16
Improving Unsupervised Video Object Segmentation via Fake Flow Generation
#4DPASOTA
88.4
F· 2022-11-22
Dual Prototype Attention for Unsupervised Video Object Segmentation Code
#5TMO (MiT-b1)SOTA
87.8
F· 2022-09-04
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation Code
#6AMP
87.5
F· 2023-03-18
Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation Code
#7IMPSOTA
86.7
F· 2021-12-23
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
#8TMO (RN-101)
86.6
F· 2022-09-04
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation Code
#9DLDA
86.6
F· Extra Data· 2024-01-25
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention
#10D2Conv3D
86.5
F
No paperCode
#11PMN
86.4
F· 2022-09-08
Unsupervised Video Object Segmentation via Prototype Memory Network Code
#12TransportNet
85
F
No paper
#13RTNet
84.7
F
No paperCode
#143DC-SegSOTA
84.7
F· 2020-08-26
Making a Case for 3D Convolutions for Object Segmentation in Videos Code
#15AMC-Net
84.6
F
No paperCode
#16FSNet
83.1
F· 2021-08-06
Full-Duplex Strategy for Video Object Segmentation Code
#17DFNetSOTA
81.8
F· 2020-08-04
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation
#18MATNetSOTA
80.7
F· 2020-03-09
Motion-Attentive Transition for Zero-Shot Video Object Segmentation Code
#19WCS-Net
80.7
F
No paper
#20AD-NetSOTA
80.5
F· 2019-10-24
Anchor Diffusion for Unsupervised Video Object Segmentation Code
#21COSNet
79.4
F· 2020-01-19
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks Code
#22AGNN
79.1
F· 2020-01-19
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks Code
#23AGS
77.4
F
No paperCode
#24PDB
74.5
F
No paper
#25F2Net
54.4
F· 2020-12-04
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation