2D Classification on VOS-T

Metric: max E-measure (higher is better)

LeaderboardDataset

Loading chart...

Results

Hide augmentations

Sort:

#	Model↕	max E-measure▼	Augmentations	Paper	Date↕	Code
1	RCRNet+NER	0.856	Yes	Semi-Supervised Video Salient Object Detection U...	2019-08-12	Code
2	SSAV	0.839	No	-	-	Code
3	PDB	0.837	Yes	-	-	-
4	MBNM	0.797	Yes	-	-	-
5	FGRN	0.797	Yes	-	-	-
6	MB+M	0.698	Yes	-	-	-
7	MSTM	0.695	Yes	-	-	Code
8	SAGM	0.664	Yes	-	-	-
9	TIMP	0.64	Yes	-	-	-

#1RCRNet+NERSOTA
0.856
max E-measure· Augmentations· 2019-08-12
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Code
#2SSAV
0.839
max E-measure
No paperCode
#3PDB
0.837
max E-measure· Augmentations
No paper
#4MBNM
0.797
max E-measure· Augmentations
No paper
#5FGRN
0.797
max E-measure· Augmentations
No paper
#6MB+M
0.698
max E-measure· Augmentations
No paper
#7MSTM
0.695
max E-measure· Augmentations
No paperCode
#8SAGM
0.664
max E-measure· Augmentations
No paper
#9TIMP
0.64
max E-measure· Augmentations
No paper