RGB Salient Object Detection on ViSal

Metric: max E-measure (higher is better)

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#	Model↕	max E-measure▼	Extra Data	Paper	Date↕	Code
1	UFO	0.987	No	A Unified Transformer Framework for Group-based ...	2022-03-09	Code
2	SSAV	0.98	No	-	-	Code
3	RealFlow	0.966	Yes	Transforming Static Images Using Generative Mode...	2024-11-21	-
4	FGRN	0.945	Yes	-	-	-
5	MBNM	0.892	Yes	-	-	-
6	SAGM	0.858	Yes	-	-	-
7	PDB	0.846	Yes	-	-	-
8	MB+M	0.832	Yes	-	-	-
9	MSTM	0.816	Yes	-	-	Code
10	TIMP	0.743	Yes	-	-	-

#1UFOSOTA
0.987
max E-measure· 2022-03-09
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection Code
#2SSAV
0.98
max E-measure
No paperCode
#3RealFlow
0.966
max E-measure· Extra Data· 2024-11-21
Transforming Static Images Using Generative Models for Video Salient Object Detection
#4FGRN
0.945
max E-measure· Extra Data
No paper
#5MBNM
0.892
max E-measure· Extra Data
No paper
#6SAGM
0.858
max E-measure· Extra Data
No paper
#7PDB
0.846
max E-measure· Extra Data
No paper
#8MB+M
0.832
max E-measure· Extra Data
No paper
#9MSTM
0.816
max E-measure· Extra Data
No paperCode
#10TIMP
0.743
max E-measure· Extra Data
No paper