Unsupervised Video Object Segmentation 벤치마크

Unsupervised Video Object Segmentation on DAVIS 2017 (test-dev)

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J&F

Rank	Model	J&F	Jaccard (Mean)	Jaccard (Recall)	Jaccard (Decay)	F-measure (Mean)	F-measure (Recall)	F-measure (Decay)	Extra Training Data	Paper	Code	Year
1	DEVA (EntitySeg)	62.1	–	–	–	–	–	–	✓	Tracking Anything with Decoupled Video Segmentation	hkchengrex/Tracking-Anything-with-DEVA	2023
2	UnOVSOT	58.0	54.0	62.9	3.5	62.0	66.6	6.6		UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking	idilesenzulfikar/UNOVOST	2020
3	AGS	45.6	42.1	48.5	2.6	49.0	51.5	2.6		Learning Unsupervised Video Object Segmentation Through Visual Attention	wenguanwang/AGS	2019
4	MuG-W	41.7	38.9	44.3	-2.7	44.5	46.6	-1.7		Learning Video Object Segmentation from Unlabeled Videos	carrierlxk/MuG	2020
5	PDB	40.4	37.7	42.6	4.0	43.0	44.6	3.7		Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection		2018
6	RVOS	22.5	17.7	16.2	1.6	27.3	24.8	1.8		RVOS: End-to-End Recurrent Network for Video Object Segmentation	imatge-upc/rvos	2019
7	DEVA (EntitySeg)	62.1	–	–	–	–	–	–	✓	Tracking Anything with Decoupled Video Segmentation	hkchengrex/Tracking-Anything-with-DEVA	2023
8	UnOVSOT	58.0	54.0	62.9	3.5	62.0	66.6	6.6		UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking	idilesenzulfikar/UNOVOST	2020
9	AGS	45.6	42.1	48.5	2.6	49.0	51.5	2.6		Learning Unsupervised Video Object Segmentation Through Visual Attention	wenguanwang/AGS	2019
10	MuG-W	41.7	38.9	44.3	-2.7	44.5	46.6	-1.7		Learning Video Object Segmentation from Unlabeled Videos	carrierlxk/MuG	2020
11	PDB	40.4	37.7	42.6	4.0	43.0	44.6	3.7		Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection		2018
12	RVOS	22.5	17.7	16.2	1.6	27.3	24.8	1.8		RVOS: End-to-End Recurrent Network for Video Object Segmentation	imatge-upc/rvos	2019