Zero-shot Video Object Segmentation on DAVIS 2016 (val) benchmark leaderboard · SOTA2 Research

Zero-shot Video Object Segmentation on DAVIS 2016 (val)

80.7J MeanAGNN

Evaluation Results

Method	Links
AGNN2020.01		80.7	94	0.03	79.1	90.5	0.03	33.7
AGS2020.01		79.7	91.1	1.9	77.4	85.8	1.6	26.7
PDB2020.01		77.2	90.1	0.9	74.5	84.4	-0.2	29.1
MOA2020.01		77.2	87.8	5	77.4	84.4	3.3	27.9
ARP2020.01		76.2	91.1	7	70.6	83.5	7.9	39.3
LVO2020.01		75.9	89.1	0	72.1	83.4	1.3	26.5
FSEG2020.01		70.7	83	1.5	65.3	73.8	1.8	32.8
MP2020.01		70	85	1.3	65.9	79.2	2.5	57.2
SFL2020.01		67.4	81.4	6.2	66.7	77.1	5.1	28.2
MuG2020.03		61.2	65.9	11.6	56.1	54.6	20.3	23.6
MuG2020.03		58	65.3	2	51.5	53.2	2.1	30.1
FST2020.01		55.8	64.9	0	51.1	51.6	2.9	36.6
FST2020.03		55.8	64.7	0	51.1	51.6	2.9	36.6
CUT2020.01		55.2	57.5	2.2	55.2	51.9	3.4	27.7
NLC2020.01		55.1	55.8	12.6	52.3	61	11.4	42.5
NLC2020.03		55.1	55.8	12.6	52.3	51.9	11.4	42.5
MSG2020.01		53.3	61.6	2.4	50.8	60	5.1	30.2
MSG2020.03		53.3	61.6	2.4	50.8	60	5.1	30.1
COSEG2020.03		52.8	50	10.7	49.3	52.7	10.5	28.2
KEY2020.01		49.8	59.1	14.1	42.7	37.5	10.6	26.9
KEY2020.03		49.8	59.1	14.1	42.7	37.5	10.6	26.9
Motion Masks2020.03		48.9	44.7	19.2	39.1	28.6	17.9	36.4
CVOS2020.03		48.2	54	10.5	44.7	52.6	11.7	25
TRC2020.03		47.3	49.3	8.3	44.1	43.6	12.9	39.1
TSN2020.03		31.2	18.7	-0.4	18.4	5.6	1.9	37.5