2D Classification on DAVIS-2016

Metric: S-Measure (higher is better)

LeaderboardDataset

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Results

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#	Model↕	S-Measure▼	Augmentations	Paper	Date↕	Code
1	RealFlow	0.945	Yes	Transforming Static Images Using Generative Mode...	2024-11-21	-
2	UFO	0.918	Yes	A Unified Transformer Framework for Group-based ...	2022-03-09	Code
3	SSAV	0.893	Yes	-	-	Code
4	MBNM	0.887	Yes	-	-	-
5	RCRNet+NER	0.884	Yes	Semi-Supervised Video Salient Object Detection U...	2019-08-12	Code
6	PDB	0.882	Yes	-	-	-
7	FGRN	0.838	Yes	-	-	-
8	SAGM	0.664	Yes	-	-	-
9	MB+M	0.6	Yes	-	-	-
10	TIMP	0.574	Yes	-	-	-
11	MSTM	0.566	Yes	-	-	Code

#1RealFlowSOTA
0.945
S-Measure· Augmentations· 2024-11-21
Transforming Static Images Using Generative Models for Video Salient Object Detection
#2UFOSOTA
0.918
S-Measure· Augmentations· 2022-03-09
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection Code
#3SSAV
0.893
S-Measure· Augmentations
No paperCode
#4MBNM
0.887
S-Measure· Augmentations
No paper
#5RCRNet+NERSOTA
0.884
S-Measure· Augmentations· 2019-08-12
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels Code
#6PDB
0.882
S-Measure· Augmentations
No paper
#7FGRN
0.838
S-Measure· Augmentations
No paper
#8SAGM
0.664
S-Measure· Augmentations
No paper
#9MB+M
0.6
S-Measure· Augmentations
No paper
#10TIMP
0.574
S-Measure· Augmentations
No paper
#11MSTM
0.566
S-Measure· Augmentations
No paperCode