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Video Annotation on LSMDC 2016 (challenge)

0.109CIDEr-D

Supervised Tessellation

Updated 4d ago

Evaluation Results

Method	Links
Supervised Tessellation 2016.12		0.109	0.008	0.151	0.044	0.017	0.057	0.135
Unsupervised Tessellation 2016.12		0.102	0.007	0.146	0.043	0.016	0.055	0.137
Local Tessellation 2016.12		0.098	0.007	0.144	0.042	0.016	0.056	0.13
S2VT 2016.12		0.088	0.007	0.162	0.051	0.017	0.07	0.157
Yu et al 2016.12		0.082	0.007	0.157	0.049	0.017	0.07	0.149
BUPT CIST AI lab 2016.12		0.072	0.005	0.151	0.047	0.013	0.075	0.152
Shetty and Laaksonen 2016.12		0.044	0.003	0.119	0.024	0.007	0.046	0.108
IIT Kanpur 2016.12		0.042	0.004	0.116	0.003	0.011	0.07	0.138
Appearance Matching 2016.12		0.042	0.003	0.118	0.026	0.008	0.046	0.11
Aalto University 2016.12		0.037	0.002	0.007	0.001	0.005	0.033	0.069