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Referring Expression Segmentation on ReferIt (test)

34.02Precision @ 0.5 IoU

recurrent and convolutional network model

Updated 4d ago

Evaluation Results

Method	Links
recurrent and convolutional network model 2016.03		34.02	26.71	19.32	11.63	3.92	48.03
recurrent and convolutional network model 2016.03		29.54	21.61	13.69	5.94	0.75	45.57
GroundeR 2016.03		14.09	9.62	5.78	2.65	0.62	20.09
MCG classification 2016.03		12.72	9.88	7.38	4.73	1.88	18.08
SCRC 2016.03		11.91	7.71	4.33	1.78	0.36	17.84
GroundeR 2016.03		11.08	6.2	2.74	0.78	0.2	20.5
per-word average 2016.03		10.97	5.94	2.35	0.45	0	27.23
per-word union 2016.03		10.46	5.65	2.28	0.44	0	19.37
SCRC 2016.03		9.73	4.43	1.51	0.27	0.03	21.72
per-word intersection 2016.03		9.58	5.35	2.2	0.43	0	26.69
whole image 2016.03		5.07	2.85	1.58	0.81	0.41	15.12